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A B C D E F G H I J K L M N O P Q R S T U V W Y misc
| abs | Math functions for Column operations |
| abs-method | Math functions for Column operations |
| acos | Math functions for Column operations |
| acos-method | Math functions for Column operations |
| add_months | Date time arithmetic functions for Column operations |
| add_months-method | Date time arithmetic functions for Column operations |
| AFTSurvivalRegressionModel-class | S4 class that represents a AFTSurvivalRegressionModel |
| agg | summarize |
| agg-method | summarize |
| alias | alias |
| alias-method | alias |
| ALSModel-class | S4 class that represents an ALSModel |
| approxCountDistinct | Aggregate functions for Column operations |
| approxCountDistinct-method | Aggregate functions for Column operations |
| approxQuantile | Calculates the approximate quantiles of numerical columns of a SparkDataFrame |
| approxQuantile-method | Calculates the approximate quantiles of numerical columns of a SparkDataFrame |
| arrange | Arrange Rows by Variables |
| arrange-method | Arrange Rows by Variables |
| arrays_overlap | Collection functions for Column operations |
| arrays_overlap-method | Collection functions for Column operations |
| arrays_zip | Collection functions for Column operations |
| arrays_zip-method | Collection functions for Column operations |
| array_contains | Collection functions for Column operations |
| array_contains-method | Collection functions for Column operations |
| array_distinct | Collection functions for Column operations |
| array_distinct-method | Collection functions for Column operations |
| array_except | Collection functions for Column operations |
| array_except-method | Collection functions for Column operations |
| array_intersect | Collection functions for Column operations |
| array_intersect-method | Collection functions for Column operations |
| array_join | Collection functions for Column operations |
| array_join-method | Collection functions for Column operations |
| array_max | Collection functions for Column operations |
| array_max-method | Collection functions for Column operations |
| array_min | Collection functions for Column operations |
| array_min-method | Collection functions for Column operations |
| array_position | Collection functions for Column operations |
| array_position-method | Collection functions for Column operations |
| array_remove | Collection functions for Column operations |
| array_remove-method | Collection functions for Column operations |
| array_repeat | Collection functions for Column operations |
| array_repeat-method | Collection functions for Column operations |
| array_sort | Collection functions for Column operations |
| array_sort-method | Collection functions for Column operations |
| array_union | Collection functions for Column operations |
| array_union-method | Collection functions for Column operations |
| as.data.frame | Download data from a SparkDataFrame into a R data.frame |
| as.data.frame-method | Download data from a SparkDataFrame into a R data.frame |
| as.DataFrame | Create a SparkDataFrame |
| as.DataFrame.default | Create a SparkDataFrame |
| asc | A set of operations working with SparkDataFrame columns |
| ascii | String functions for Column operations |
| ascii-method | String functions for Column operations |
| asin | Math functions for Column operations |
| asin-method | Math functions for Column operations |
| associationRules-method | FP-growth |
| atan | Math functions for Column operations |
| atan-method | Math functions for Column operations |
| atan2 | Math functions for Column operations |
| atan2-method | Math functions for Column operations |
| attach | Attach SparkDataFrame to R search path |
| attach-method | Attach SparkDataFrame to R search path |
| avg | avg |
| avg-method | avg |
| awaitTermination | awaitTermination |
| awaitTermination-method | awaitTermination |
| base64 | String functions for Column operations |
| base64-method | String functions for Column operations |
| between | between |
| between-method | between |
| bin | Math functions for Column operations |
| bin-method | Math functions for Column operations |
| BisectingKMeansModel-class | S4 class that represents a BisectingKMeansModel |
| bitwiseNOT | Non-aggregate functions for Column operations |
| bitwiseNOT-method | Non-aggregate functions for Column operations |
| broadcast | broadcast |
| broadcast-method | broadcast |
| bround | Math functions for Column operations |
| bround-method | Math functions for Column operations |
| cache | Cache |
| cache-method | Cache |
| cacheTable | Cache Table |
| cacheTable.default | Cache Table |
| cancelJobGroup | Cancel active jobs for the specified group |
| cancelJobGroup.default | Cancel active jobs for the specified group |
| cast | Casts the column to a different data type. |
| cast-method | Casts the column to a different data type. |
| cbrt | Math functions for Column operations |
| cbrt-method | Math functions for Column operations |
| ceil | Math functions for Column operations |
| ceil-method | Math functions for Column operations |
| ceiling | Math functions for Column operations |
| ceiling-method | Math functions for Column operations |
| checkpoint | checkpoint |
| checkpoint-method | checkpoint |
| clearCache | Clear Cache |
| clearCache.default | Clear Cache |
| clearJobGroup | Clear current job group ID and its description |
| clearJobGroup.default | Clear current job group ID and its description |
| coalesce | Coalesce |
| coalesce-method | Coalesce |
| coalesce-method | Non-aggregate functions for Column operations |
| collect | Collects all the elements of a SparkDataFrame and coerces them into an R data.frame. |
| collect-method | Collects all the elements of a SparkDataFrame and coerces them into an R data.frame. |
| collect_list | Aggregate functions for Column operations |
| collect_list-method | Aggregate functions for Column operations |
| collect_set | Aggregate functions for Column operations |
| collect_set-method | Aggregate functions for Column operations |
| colnames | Column Names of SparkDataFrame |
| colnames-method | Column Names of SparkDataFrame |
| colnames<- | Column Names of SparkDataFrame |
| colnames<--method | Column Names of SparkDataFrame |
| coltypes | coltypes |
| coltypes-method | coltypes |
| coltypes<- | coltypes |
| coltypes<--method | coltypes |
| column | S4 class that represents a SparkDataFrame column |
| Column-class | S4 class that represents a SparkDataFrame column |
| column-method | S4 class that represents a SparkDataFrame column |
| columnfunctions | A set of operations working with SparkDataFrame columns |
| columns | Column Names of SparkDataFrame |
| columns-method | Column Names of SparkDataFrame |
| column_aggregate_functions | Aggregate functions for Column operations |
| column_collection_functions | Collection functions for Column operations |
| column_datetime_diff_functions | Date time arithmetic functions for Column operations |
| column_datetime_functions | Date time functions for Column operations |
| column_math_functions | Math functions for Column operations |
| column_misc_functions | Miscellaneous functions for Column operations |
| column_nonaggregate_functions | Non-aggregate functions for Column operations |
| column_string_functions | String functions for Column operations |
| column_window_functions | Window functions for Column operations |
| concat | Collection functions for Column operations |
| concat-method | Collection functions for Column operations |
| concat_ws | String functions for Column operations |
| concat_ws-method | String functions for Column operations |
| contains | A set of operations working with SparkDataFrame columns |
| conv | Math functions for Column operations |
| conv-method | Math functions for Column operations |
| corr | corr |
| corr-method | corr |
| cos | Math functions for Column operations |
| cos-method | Math functions for Column operations |
| cosh | Math functions for Column operations |
| cosh-method | Math functions for Column operations |
| count | Count |
| count-method | Count |
| count-method | Returns the number of rows in a SparkDataFrame |
| countDistinct | Aggregate functions for Column operations |
| countDistinct-method | Aggregate functions for Column operations |
| cov | cov |
| cov-method | cov |
| covar_pop | cov |
| covar_pop-method | cov |
| covar_samp | cov |
| covar_samp-method | cov |
| crc32 | Miscellaneous functions for Column operations |
| crc32-method | Miscellaneous functions for Column operations |
| createDataFrame | Create a SparkDataFrame |
| createDataFrame.default | Create a SparkDataFrame |
| createExternalTable | (Deprecated) Create an external table |
| createExternalTable.default | (Deprecated) Create an external table |
| createOrReplaceTempView | Creates a temporary view using the given name. |
| createOrReplaceTempView-method | Creates a temporary view using the given name. |
| createTable | Creates a table based on the dataset in a data source |
| create_array | Non-aggregate functions for Column operations |
| create_array-method | Non-aggregate functions for Column operations |
| create_map | Non-aggregate functions for Column operations |
| create_map-method | Non-aggregate functions for Column operations |
| crossJoin | CrossJoin |
| crossJoin-method | CrossJoin |
| crosstab | Computes a pair-wise frequency table of the given columns |
| crosstab-method | Computes a pair-wise frequency table of the given columns |
| cube | cube |
| cube-method | cube |
| cume_dist | Window functions for Column operations |
| cume_dist-method | Window functions for Column operations |
| currentDatabase | Returns the current default database |
| current_date | Date time functions for Column operations |
| current_date-method | Date time functions for Column operations |
| current_timestamp | Date time functions for Column operations |
| current_timestamp-method | Date time functions for Column operations |
| dapply | dapply |
| dapply-method | dapply |
| dapplyCollect | dapplyCollect |
| dapplyCollect-method | dapplyCollect |
| datediff | Date time arithmetic functions for Column operations |
| datediff-method | Date time arithmetic functions for Column operations |
| date_add | Date time arithmetic functions for Column operations |
| date_add-method | Date time arithmetic functions for Column operations |
| date_format | Date time arithmetic functions for Column operations |
| date_format-method | Date time arithmetic functions for Column operations |
| date_sub | Date time arithmetic functions for Column operations |
| date_sub-method | Date time arithmetic functions for Column operations |
| date_trunc | Date time functions for Column operations |
| date_trunc-method | Date time functions for Column operations |
| dayofmonth | Date time functions for Column operations |
| dayofmonth-method | Date time functions for Column operations |
| dayofweek | Date time functions for Column operations |
| dayofweek-method | Date time functions for Column operations |
| dayofyear | Date time functions for Column operations |
| dayofyear-method | Date time functions for Column operations |
| DecisionTreeClassificationModel-class | S4 class that represents a DecisionTreeClassificationModel |
| DecisionTreeRegressionModel-class | S4 class that represents a DecisionTreeRegressionModel |
| decode | String functions for Column operations |
| decode-method | String functions for Column operations |
| dense_rank | Window functions for Column operations |
| dense_rank-method | Window functions for Column operations |
| desc | A set of operations working with SparkDataFrame columns |
| describe | describe |
| describe-method | describe |
| dim | Returns the dimensions of SparkDataFrame |
| dim-method | Returns the dimensions of SparkDataFrame |
| distinct | Distinct |
| distinct-method | Distinct |
| drop | drop |
| drop-method | drop |
| dropDuplicates | dropDuplicates |
| dropDuplicates-method | dropDuplicates |
| dropna | A set of SparkDataFrame functions working with NA values |
| dropna-method | A set of SparkDataFrame functions working with NA values |
| dropTempTable | (Deprecated) Drop Temporary Table |
| dropTempTable.default | (Deprecated) Drop Temporary Table |
| dropTempView | Drops the temporary view with the given view name in the catalog. |
| dtypes | DataTypes |
| dtypes-method | DataTypes |
| element_at | Collection functions for Column operations |
| element_at-method | Collection functions for Column operations |
| encode | String functions for Column operations |
| encode-method | String functions for Column operations |
| endsWith | endsWith |
| endsWith-method | endsWith |
| except | except |
| except-method | except |
| exceptAll | exceptAll |
| exceptAll-method | exceptAll |
| exp | Math functions for Column operations |
| exp-method | Math functions for Column operations |
| explain | Explain |
| explain-method | Explain |
| explode | Collection functions for Column operations |
| explode-method | Collection functions for Column operations |
| explode_outer | Collection functions for Column operations |
| explode_outer-method | Collection functions for Column operations |
| expm1 | Math functions for Column operations |
| expm1-method | Math functions for Column operations |
| expr | Non-aggregate functions for Column operations |
| expr-method | Non-aggregate functions for Column operations |
| factorial | Math functions for Column operations |
| factorial-method | Math functions for Column operations |
| fillna | A set of SparkDataFrame functions working with NA values |
| fillna-method | A set of SparkDataFrame functions working with NA values |
| filter | Filter |
| filter-method | Filter |
| first | Return the first row of a SparkDataFrame |
| first-method | Return the first row of a SparkDataFrame |
| fitted | Get fitted result from a k-means model |
| fitted-method | Get fitted result from a k-means model |
| fitted-method | Bisecting K-Means Clustering Model |
| flatten | Collection functions for Column operations |
| flatten-method | Collection functions for Column operations |
| floor | Math functions for Column operations |
| floor-method | Math functions for Column operations |
| format_number | String functions for Column operations |
| format_number-method | String functions for Column operations |
| format_string | String functions for Column operations |
| format_string-method | String functions for Column operations |
| FPGrowthModel-class | S4 class that represents a FPGrowthModel |
| freqItems | Finding frequent items for columns, possibly with false positives |
| freqItems-method | Finding frequent items for columns, possibly with false positives |
| freqItemsets-method | FP-growth |
| from_json | Collection functions for Column operations |
| from_json-method | Collection functions for Column operations |
| from_unixtime | Date time functions for Column operations |
| from_unixtime-method | Date time functions for Column operations |
| from_utc_timestamp | Date time arithmetic functions for Column operations |
| from_utc_timestamp-method | Date time arithmetic functions for Column operations |
| gapply | gapply |
| gapply-method | gapply |
| gapplyCollect | gapplyCollect |
| gapplyCollect-method | gapplyCollect |
| GaussianMixtureModel-class | S4 class that represents a GaussianMixtureModel |
| GBTClassificationModel-class | S4 class that represents a GBTClassificationModel |
| GBTRegressionModel-class | S4 class that represents a GBTRegressionModel |
| GeneralizedLinearRegressionModel-class | S4 class that represents a generalized linear model |
| getField | A set of operations working with SparkDataFrame columns |
| getItem | A set of operations working with SparkDataFrame columns |
| getLocalProperty | Get a local property set in this thread, or 'NULL' if it is missing. See 'setLocalProperty'. |
| getNumPartitions | getNumPartitions |
| getNumPartitions-method | getNumPartitions |
| glm | Generalized Linear Models (R-compliant) |
| glm-method | Generalized Linear Models (R-compliant) |
| greatest | Non-aggregate functions for Column operations |
| greatest-method | Non-aggregate functions for Column operations |
| groupBy | GroupBy |
| groupBy-method | GroupBy |
| groupedData | S4 class that represents a GroupedData |
| GroupedData-class | S4 class that represents a GroupedData |
| grouping_bit | Aggregate functions for Column operations |
| grouping_bit-method | Aggregate functions for Column operations |
| grouping_id | Aggregate functions for Column operations |
| grouping_id-method | Aggregate functions for Column operations |
| group_by | GroupBy |
| group_by-method | GroupBy |
| hash | Miscellaneous functions for Column operations |
| hash-method | Miscellaneous functions for Column operations |
| hashCode | Compute the hashCode of an object |
| head | Head |
| head-method | Head |
| hex | Math functions for Column operations |
| hex-method | Math functions for Column operations |
| hint | hint |
| hint-method | hint |
| histogram | Compute histogram statistics for given column |
| histogram-method | Compute histogram statistics for given column |
| hour | Date time functions for Column operations |
| hour-method | Date time functions for Column operations |
| hypot | Math functions for Column operations |
| hypot-method | Math functions for Column operations |
| ifelse | Non-aggregate functions for Column operations |
| ifelse-method | Non-aggregate functions for Column operations |
| initcap | String functions for Column operations |
| initcap-method | String functions for Column operations |
| input_file_name | Non-aggregate functions for Column operations |
| input_file_name-method | Non-aggregate functions for Column operations |
| insertInto | insertInto |
| insertInto-method | insertInto |
| install.spark | Download and Install Apache Spark to a Local Directory |
| instr | String functions for Column operations |
| instr-method | String functions for Column operations |
| intersect | Intersect |
| intersect-method | Intersect |
| intersectAll | intersectAll |
| intersectAll-method | intersectAll |
| is.nan | Non-aggregate functions for Column operations |
| is.nan-method | Non-aggregate functions for Column operations |
| isActive | isActive |
| isActive-method | isActive |
| isLocal | isLocal |
| isLocal-method | isLocal |
| isNaN | A set of operations working with SparkDataFrame columns |
| isnan | Non-aggregate functions for Column operations |
| isnan-method | Non-aggregate functions for Column operations |
| isNotNull | A set of operations working with SparkDataFrame columns |
| isNull | A set of operations working with SparkDataFrame columns |
| IsotonicRegressionModel-class | S4 class that represents an IsotonicRegressionModel |
| isStreaming | isStreaming |
| isStreaming-method | isStreaming |
| join | Join |
| join-method | Join |
| jsonFile | Create a SparkDataFrame from a JSON file. |
| jsonFile.default | Create a SparkDataFrame from a JSON file. |
| KMeansModel-class | S4 class that represents a KMeansModel |
| KSTest-class | S4 class that represents an KSTest |
| kurtosis | Aggregate functions for Column operations |
| kurtosis-method | Aggregate functions for Column operations |
| lag | Window functions for Column operations |
| lag-method | Window functions for Column operations |
| last | last |
| last-method | last |
| lastProgress | lastProgress |
| lastProgress-method | lastProgress |
| last_day | Date time functions for Column operations |
| last_day-method | Date time functions for Column operations |
| LDAModel-class | S4 class that represents an LDAModel |
| lead | Window functions for Column operations |
| lead-method | Window functions for Column operations |
| least | Non-aggregate functions for Column operations |
| least-method | Non-aggregate functions for Column operations |
| length | String functions for Column operations |
| length-method | String functions for Column operations |
| levenshtein | String functions for Column operations |
| levenshtein-method | String functions for Column operations |
| like | A set of operations working with SparkDataFrame columns |
| limit | Limit |
| limit-method | Limit |
| LinearSVCModel-class | S4 class that represents an LinearSVCModel |
| listColumns | Returns a list of columns for the given table/view in the specified database |
| listDatabases | Returns a list of databases available |
| listFunctions | Returns a list of functions registered in the specified database |
| listTables | Returns a list of tables or views in the specified database |
| lit | Non-aggregate functions for Column operations |
| lit-method | Non-aggregate functions for Column operations |
| loadDF | Load a SparkDataFrame |
| loadDF.default | Load a SparkDataFrame |
| localCheckpoint | localCheckpoint |
| localCheckpoint-method | localCheckpoint |
| locate | String functions for Column operations |
| locate-method | String functions for Column operations |
| log | Math functions for Column operations |
| log-method | Math functions for Column operations |
| log10 | Math functions for Column operations |
| log10-method | Math functions for Column operations |
| log1p | Math functions for Column operations |
| log1p-method | Math functions for Column operations |
| log2 | Math functions for Column operations |
| log2-method | Math functions for Column operations |
| LogisticRegressionModel-class | S4 class that represents an LogisticRegressionModel |
| lower | String functions for Column operations |
| lower-method | String functions for Column operations |
| lpad | String functions for Column operations |
| lpad-method | String functions for Column operations |
| ltrim | String functions for Column operations |
| ltrim-method | String functions for Column operations |
| map_from_arrays | Collection functions for Column operations |
| map_from_arrays-method | Collection functions for Column operations |
| map_keys | Collection functions for Column operations |
| map_keys-method | Collection functions for Column operations |
| map_values | Collection functions for Column operations |
| map_values-method | Collection functions for Column operations |
| max | Aggregate functions for Column operations |
| max-method | Aggregate functions for Column operations |
| md5 | Miscellaneous functions for Column operations |
| md5-method | Miscellaneous functions for Column operations |
| mean | Aggregate functions for Column operations |
| mean-method | Aggregate functions for Column operations |
| merge | Merges two data frames |
| merge-method | Merges two data frames |
| min | Aggregate functions for Column operations |
| min-method | Aggregate functions for Column operations |
| minute | Date time functions for Column operations |
| minute-method | Date time functions for Column operations |
| monotonically_increasing_id | Non-aggregate functions for Column operations |
| monotonically_increasing_id-method | Non-aggregate functions for Column operations |
| month | Date time functions for Column operations |
| month-method | Date time functions for Column operations |
| months_between | Date time arithmetic functions for Column operations |
| months_between-method | Date time arithmetic functions for Column operations |
| MultilayerPerceptronClassificationModel-class | S4 class that represents a MultilayerPerceptronClassificationModel |
| mutate | Mutate |
| mutate-method | Mutate |
| n | Count |
| n-method | Count |
| na.omit | A set of SparkDataFrame functions working with NA values |
| na.omit-method | A set of SparkDataFrame functions working with NA values |
| NaiveBayesModel-class | S4 class that represents a NaiveBayesModel |
| names | Column Names of SparkDataFrame |
| names-method | Column Names of SparkDataFrame |
| names<- | Column Names of SparkDataFrame |
| names<--method | Column Names of SparkDataFrame |
| nanvl | Non-aggregate functions for Column operations |
| nanvl-method | Non-aggregate functions for Column operations |
| ncol | Returns the number of columns in a SparkDataFrame |
| ncol-method | Returns the number of columns in a SparkDataFrame |
| negate | Non-aggregate functions for Column operations |
| negate-method | Non-aggregate functions for Column operations |
| next_day | Date time arithmetic functions for Column operations |
| next_day-method | Date time arithmetic functions for Column operations |
| not | ! |
| not-method | ! |
| nrow | Returns the number of rows in a SparkDataFrame |
| nrow-method | Returns the number of rows in a SparkDataFrame |
| ntile | Window functions for Column operations |
| ntile-method | Window functions for Column operations |
| n_distinct | Aggregate functions for Column operations |
| n_distinct-method | Aggregate functions for Column operations |
| orderBy | Ordering Columns in a WindowSpec |
| orderBy-method | Arrange Rows by Variables |
| orderBy-method | Ordering Columns in a WindowSpec |
| otherwise | otherwise |
| otherwise-method | otherwise |
| over | over |
| over-method | over |
| parquetFile | Create a SparkDataFrame from a Parquet file. |
| parquetFile.default | Create a SparkDataFrame from a Parquet file. |
| partitionBy | partitionBy |
| partitionBy-method | partitionBy |
| percent_rank | Window functions for Column operations |
| percent_rank-method | Window functions for Column operations |
| persist | Persist |
| persist-method | Persist |
| pivot | Pivot a column of the GroupedData and perform the specified aggregation. |
| pivot-method | Pivot a column of the GroupedData and perform the specified aggregation. |
| pmod | Math functions for Column operations |
| pmod-method | Math functions for Column operations |
| posexplode | Collection functions for Column operations |
| posexplode-method | Collection functions for Column operations |
| posexplode_outer | Collection functions for Column operations |
| posexplode_outer-method | Collection functions for Column operations |
| predict | Makes predictions from a MLlib model |
| predict-method | Alternating Least Squares (ALS) for Collaborative Filtering |
| predict-method | Bisecting K-Means Clustering Model |
| predict-method | Decision Tree Model for Regression and Classification |
| predict-method | FP-growth |
| predict-method | Multivariate Gaussian Mixture Model (GMM) |
| predict-method | Gradient Boosted Tree Model for Regression and Classification |
| predict-method | Generalized Linear Models |
| predict-method | Isotonic Regression Model |
| predict-method | K-Means Clustering Model |
| predict-method | Logistic Regression Model |
| predict-method | Multilayer Perceptron Classification Model |
| predict-method | Naive Bayes Models |
| predict-method | Random Forest Model for Regression and Classification |
| predict-method | Accelerated Failure Time (AFT) Survival Regression Model |
| predict-method | Linear SVM Model |
| print.jobj | Print a JVM object reference. |
| print.structField | Print a Spark StructField. |
| print.structType | Print a Spark StructType. |
| print.summary.DecisionTreeClassificationModel | Decision Tree Model for Regression and Classification |
| print.summary.DecisionTreeRegressionModel | Decision Tree Model for Regression and Classification |
| print.summary.GBTClassificationModel | Gradient Boosted Tree Model for Regression and Classification |
| print.summary.GBTRegressionModel | Gradient Boosted Tree Model for Regression and Classification |
| print.summary.GeneralizedLinearRegressionModel | Generalized Linear Models |
| print.summary.KSTest | (One-Sample) Kolmogorov-Smirnov Test |
| print.summary.RandomForestClassificationModel | Random Forest Model for Regression and Classification |
| print.summary.RandomForestRegressionModel | Random Forest Model for Regression and Classification |
| printSchema | Print Schema of a SparkDataFrame |
| printSchema-method | Print Schema of a SparkDataFrame |
| quarter | Date time functions for Column operations |
| quarter-method | Date time functions for Column operations |
| queryName | queryName |
| queryName-method | queryName |
| rand | Non-aggregate functions for Column operations |
| rand-method | Non-aggregate functions for Column operations |
| randn | Non-aggregate functions for Column operations |
| randn-method | Non-aggregate functions for Column operations |
| RandomForestClassificationModel-class | S4 class that represents a RandomForestClassificationModel |
| RandomForestRegressionModel-class | S4 class that represents a RandomForestRegressionModel |
| randomSplit | randomSplit |
| randomSplit-method | randomSplit |
| rangeBetween | rangeBetween |
| rangeBetween-method | rangeBetween |
| rank | Window functions for Column operations |
| rank-method | Window functions for Column operations |
| rbind | Union two or more SparkDataFrames |
| rbind-method | Union two or more SparkDataFrames |
| read.df | Load a SparkDataFrame |
| read.df.default | Load a SparkDataFrame |
| read.jdbc | Create a SparkDataFrame representing the database table accessible via JDBC URL |
| read.json | Create a SparkDataFrame from a JSON file. |
| read.json.default | Create a SparkDataFrame from a JSON file. |
| read.ml | Load a fitted MLlib model from the input path. |
| read.orc | Create a SparkDataFrame from an ORC file. |
| read.parquet | Create a SparkDataFrame from a Parquet file. |
| read.parquet.default | Create a SparkDataFrame from a Parquet file. |
| read.stream | Load a streaming SparkDataFrame |
| read.text | Create a SparkDataFrame from a text file. |
| read.text.default | Create a SparkDataFrame from a text file. |
| recoverPartitions | Recovers all the partitions in the directory of a table and update the catalog |
| refreshByPath | Invalidates and refreshes all the cached data and metadata for SparkDataFrame containing path |
| refreshTable | Invalidates and refreshes all the cached data and metadata of the given table |
| regexp_extract | String functions for Column operations |
| regexp_extract-method | String functions for Column operations |
| regexp_replace | String functions for Column operations |
| regexp_replace-method | String functions for Column operations |
| registerTempTable | (Deprecated) Register Temporary Table |
| registerTempTable-method | (Deprecated) Register Temporary Table |
| rename | rename |
| rename-method | rename |
| repartition | Repartition |
| repartition-method | Repartition |
| repartitionByRange | Repartition by range |
| repartitionByRange-method | Repartition by range |
| repeat_string | String functions for Column operations |
| repeat_string-method | String functions for Column operations |
| reverse | Collection functions for Column operations |
| reverse-method | Collection functions for Column operations |
| rint | Math functions for Column operations |
| rint-method | Math functions for Column operations |
| rlike | A set of operations working with SparkDataFrame columns |
| rollup | rollup |
| rollup-method | rollup |
| round | Math functions for Column operations |
| round-method | Math functions for Column operations |
| rowsBetween | rowsBetween |
| rowsBetween-method | rowsBetween |
| row_number | Window functions for Column operations |
| row_number-method | Window functions for Column operations |
| rpad | String functions for Column operations |
| rpad-method | String functions for Column operations |
| rtrim | String functions for Column operations |
| rtrim-method | String functions for Column operations |
| sample | Sample |
| sample-method | Sample |
| sampleBy | Returns a stratified sample without replacement |
| sampleBy-method | Returns a stratified sample without replacement |
| sample_frac | Sample |
| sample_frac-method | Sample |
| saveAsParquetFile | Save the contents of SparkDataFrame as a Parquet file, preserving the schema. |
| saveAsParquetFile-method | Save the contents of SparkDataFrame as a Parquet file, preserving the schema. |
| saveAsTable | Save the contents of the SparkDataFrame to a data source as a table |
| saveAsTable-method | Save the contents of the SparkDataFrame to a data source as a table |
| saveDF | Save the contents of SparkDataFrame to a data source. |
| saveDF-method | Save the contents of SparkDataFrame to a data source. |
| schema | Get schema object |
| schema-method | Get schema object |
| sd | Aggregate functions for Column operations |
| sd-method | Aggregate functions for Column operations |
| second | Date time functions for Column operations |
| second-method | Date time functions for Column operations |
| select | Select |
| select-method | Select |
| selectExpr | SelectExpr |
| selectExpr-method | SelectExpr |
| setCheckpointDir | Set checkpoint directory |
| setCurrentDatabase | Sets the current default database |
| setJobDescription | Set a human readable description of the current job. |
| setJobGroup | Assigns a group ID to all the jobs started by this thread until the group ID is set to a different value or cleared. |
| setJobGroup.default | Assigns a group ID to all the jobs started by this thread until the group ID is set to a different value or cleared. |
| setLocalProperty | Set a local property that affects jobs submitted from this thread, such as the Spark fair scheduler pool. |
| setLogLevel | Set new log level |
| sha1 | Miscellaneous functions for Column operations |
| sha1-method | Miscellaneous functions for Column operations |
| sha2 | Miscellaneous functions for Column operations |
| sha2-method | Miscellaneous functions for Column operations |
| shiftLeft | Math functions for Column operations |
| shiftLeft-method | Math functions for Column operations |
| shiftRight | Math functions for Column operations |
| shiftRight-method | Math functions for Column operations |
| shiftRightUnsigned | Math functions for Column operations |
| shiftRightUnsigned-method | Math functions for Column operations |
| show | show |
| show-method | show |
| showDF | showDF |
| showDF-method | showDF |
| shuffle | Collection functions for Column operations |
| shuffle-method | Collection functions for Column operations |
| sign | Math functions for Column operations |
| sign-method | Math functions for Column operations |
| signum | Math functions for Column operations |
| signum-method | Math functions for Column operations |
| sin | Math functions for Column operations |
| sin-method | Math functions for Column operations |
| sinh | Math functions for Column operations |
| sinh-method | Math functions for Column operations |
| size | Collection functions for Column operations |
| size-method | Collection functions for Column operations |
| skewness | Aggregate functions for Column operations |
| skewness-method | Aggregate functions for Column operations |
| slice | Collection functions for Column operations |
| slice-method | Collection functions for Column operations |
| sort_array | Collection functions for Column operations |
| sort_array-method | Collection functions for Column operations |
| soundex | String functions for Column operations |
| soundex-method | String functions for Column operations |
| spark.addFile | Add a file or directory to be downloaded with this Spark job on every node. |
| spark.als | Alternating Least Squares (ALS) for Collaborative Filtering |
| spark.als-method | Alternating Least Squares (ALS) for Collaborative Filtering |
| spark.associationRules | FP-growth |
| spark.associationRules-method | FP-growth |
| spark.bisectingKmeans | Bisecting K-Means Clustering Model |
| spark.bisectingKmeans-method | Bisecting K-Means Clustering Model |
| spark.decisionTree | Decision Tree Model for Regression and Classification |
| spark.decisionTree-method | Decision Tree Model for Regression and Classification |
| spark.fpGrowth | FP-growth |
| spark.fpGrowth-method | FP-growth |
| spark.freqItemsets | FP-growth |
| spark.freqItemsets-method | FP-growth |
| spark.gaussianMixture | Multivariate Gaussian Mixture Model (GMM) |
| spark.gaussianMixture-method | Multivariate Gaussian Mixture Model (GMM) |
| spark.gbt | Gradient Boosted Tree Model for Regression and Classification |
| spark.gbt-method | Gradient Boosted Tree Model for Regression and Classification |
| spark.getSparkFiles | Get the absolute path of a file added through spark.addFile. |
| spark.getSparkFilesRootDirectory | Get the root directory that contains files added through spark.addFile. |
| spark.glm | Generalized Linear Models |
| spark.glm-method | Generalized Linear Models |
| spark.isoreg | Isotonic Regression Model |
| spark.isoreg-method | Isotonic Regression Model |
| spark.kmeans | K-Means Clustering Model |
| spark.kmeans-method | K-Means Clustering Model |
| spark.kstest | (One-Sample) Kolmogorov-Smirnov Test |
| spark.kstest-method | (One-Sample) Kolmogorov-Smirnov Test |
| spark.lapply | Run a function over a list of elements, distributing the computations with Spark |
| spark.lda | Latent Dirichlet Allocation |
| spark.lda-method | Latent Dirichlet Allocation |
| spark.logit | Logistic Regression Model |
| spark.logit-method | Logistic Regression Model |
| spark.mlp | Multilayer Perceptron Classification Model |
| spark.mlp-method | Multilayer Perceptron Classification Model |
| spark.naiveBayes | Naive Bayes Models |
| spark.naiveBayes-method | Naive Bayes Models |
| spark.perplexity | Latent Dirichlet Allocation |
| spark.perplexity-method | Latent Dirichlet Allocation |
| spark.posterior | Latent Dirichlet Allocation |
| spark.posterior-method | Latent Dirichlet Allocation |
| spark.randomForest | Random Forest Model for Regression and Classification |
| spark.randomForest-method | Random Forest Model for Regression and Classification |
| spark.survreg | Accelerated Failure Time (AFT) Survival Regression Model |
| spark.survreg-method | Accelerated Failure Time (AFT) Survival Regression Model |
| spark.svmLinear | Linear SVM Model |
| spark.svmLinear-method | Linear SVM Model |
| SparkDataFrame-class | S4 class that represents a SparkDataFrame |
| sparkR.callJMethod | Call Java Methods |
| sparkR.callJStatic | Call Static Java Methods |
| sparkR.conf | Get Runtime Config from the current active SparkSession |
| sparkR.init | (Deprecated) Initialize a new Spark Context |
| sparkR.newJObject | Create Java Objects |
| sparkR.session | Get the existing SparkSession or initialize a new SparkSession. |
| sparkR.session.stop | Stop the Spark Session and Spark Context |
| sparkR.stop | Stop the Spark Session and Spark Context |
| sparkR.uiWebUrl | Get the URL of the SparkUI instance for the current active SparkSession |
| sparkR.version | Get version of Spark on which this application is running |
| sparkRHive.init | (Deprecated) Initialize a new HiveContext |
| sparkRSQL.init | (Deprecated) Initialize a new SQLContext |
| spark_partition_id | Non-aggregate functions for Column operations |
| spark_partition_id-method | Non-aggregate functions for Column operations |
| split_string | String functions for Column operations |
| split_string-method | String functions for Column operations |
| sql | SQL Query |
| sql.default | SQL Query |
| sqrt | Math functions for Column operations |
| sqrt-method | Math functions for Column operations |
| startsWith | startsWith |
| startsWith-method | startsWith |
| status | status |
| status-method | status |
| stddev | Aggregate functions for Column operations |
| stddev-method | Aggregate functions for Column operations |
| stddev_pop | Aggregate functions for Column operations |
| stddev_pop-method | Aggregate functions for Column operations |
| stddev_samp | Aggregate functions for Column operations |
| stddev_samp-method | Aggregate functions for Column operations |
| stopQuery | stopQuery |
| stopQuery-method | stopQuery |
| storageLevel | StorageLevel |
| storageLevel-method | StorageLevel |
| str | Compactly display the structure of a dataset |
| str-method | Compactly display the structure of a dataset |
| StreamingQuery-class | S4 class that represents a StreamingQuery |
| struct | Non-aggregate functions for Column operations |
| struct-method | Non-aggregate functions for Column operations |
| structField | structField |
| structField.character | structField |
| structField.jobj | structField |
| structType | structType |
| structType.character | structType |
| structType.jobj | structType |
| structType.structField | structType |
| subset | Subset |
| subset-method | Subset |
| substr | substr |
| substr-method | substr |
| substring_index | String functions for Column operations |
| substring_index-method | String functions for Column operations |
| sum | Aggregate functions for Column operations |
| sum-method | Aggregate functions for Column operations |
| sumDistinct | Aggregate functions for Column operations |
| sumDistinct-method | Aggregate functions for Column operations |
| summarize | summarize |
| summarize-method | summarize |
| summary | summary |
| summary-method | Alternating Least Squares (ALS) for Collaborative Filtering |
| summary-method | Bisecting K-Means Clustering Model |
| summary-method | Decision Tree Model for Regression and Classification |
| summary-method | Multivariate Gaussian Mixture Model (GMM) |
| summary-method | Gradient Boosted Tree Model for Regression and Classification |
| summary-method | Generalized Linear Models |
| summary-method | Isotonic Regression Model |
| summary-method | K-Means Clustering Model |
| summary-method | (One-Sample) Kolmogorov-Smirnov Test |
| summary-method | Latent Dirichlet Allocation |
| summary-method | Logistic Regression Model |
| summary-method | Multilayer Perceptron Classification Model |
| summary-method | Naive Bayes Models |
| summary-method | Random Forest Model for Regression and Classification |
| summary-method | Accelerated Failure Time (AFT) Survival Regression Model |
| summary-method | Linear SVM Model |
| summary-method | summary |
| tableNames | Table Names |
| tableNames.default | Table Names |
| tables | Tables |
| tables.default | Tables |
| tableToDF | Create a SparkDataFrame from a SparkSQL table or view |
| take | Take the first NUM rows of a SparkDataFrame and return the results as a R data.frame |
| take-method | Take the first NUM rows of a SparkDataFrame and return the results as a R data.frame |
| tan | Math functions for Column operations |
| tan-method | Math functions for Column operations |
| tanh | Math functions for Column operations |
| tanh-method | Math functions for Column operations |
| toDegrees | Math functions for Column operations |
| toDegrees-method | Math functions for Column operations |
| toJSON | toJSON |
| toJSON-method | toJSON |
| toRadians | Math functions for Column operations |
| toRadians-method | Math functions for Column operations |
| to_date | Date time functions for Column operations |
| to_date-method | Date time functions for Column operations |
| to_json | Collection functions for Column operations |
| to_json-method | Collection functions for Column operations |
| to_timestamp | Date time functions for Column operations |
| to_timestamp-method | Date time functions for Column operations |
| to_utc_timestamp | Date time arithmetic functions for Column operations |
| to_utc_timestamp-method | Date time arithmetic functions for Column operations |
| transform | Mutate |
| transform-method | Mutate |
| translate | String functions for Column operations |
| translate-method | String functions for Column operations |
| trim | String functions for Column operations |
| trim-method | String functions for Column operations |
| trunc | Date time functions for Column operations |
| trunc-method | Date time functions for Column operations |
| unbase64 | String functions for Column operations |
| unbase64-method | String functions for Column operations |
| uncacheTable | Uncache Table |
| uncacheTable.default | Uncache Table |
| unhex | Math functions for Column operations |
| unhex-method | Math functions for Column operations |
| union | Return a new SparkDataFrame containing the union of rows |
| union-method | Return a new SparkDataFrame containing the union of rows |
| unionAll | Return a new SparkDataFrame containing the union of rows |
| unionAll-method | Return a new SparkDataFrame containing the union of rows |
| unionByName | Return a new SparkDataFrame containing the union of rows, matched by column names |
| unionByName-method | Return a new SparkDataFrame containing the union of rows, matched by column names |
| unique | Distinct |
| unique-method | Distinct |
| unix_timestamp | Date time functions for Column operations |
| unix_timestamp-method | Date time functions for Column operations |
| unpersist | Unpersist |
| unpersist-method | Unpersist |
| upper | String functions for Column operations |
| upper-method | String functions for Column operations |
| var | Aggregate functions for Column operations |
| var-method | Aggregate functions for Column operations |
| variance | Aggregate functions for Column operations |
| variance-method | Aggregate functions for Column operations |
| var_pop | Aggregate functions for Column operations |
| var_pop-method | Aggregate functions for Column operations |
| var_samp | Aggregate functions for Column operations |
| var_samp-method | Aggregate functions for Column operations |
| weekofyear | Date time functions for Column operations |
| weekofyear-method | Date time functions for Column operations |
| when | Non-aggregate functions for Column operations |
| when-method | Non-aggregate functions for Column operations |
| where | Filter |
| where-method | Filter |
| window | Date time functions for Column operations |
| window-method | Date time functions for Column operations |
| windowOrderBy | windowOrderBy |
| windowOrderBy-method | windowOrderBy |
| windowPartitionBy | windowPartitionBy |
| windowPartitionBy-method | windowPartitionBy |
| WindowSpec-class | S4 class that represents a WindowSpec |
| with | Evaluate a R expression in an environment constructed from a SparkDataFrame |
| with-method | Evaluate a R expression in an environment constructed from a SparkDataFrame |
| withColumn | WithColumn |
| withColumn-method | WithColumn |
| withColumnRenamed | rename |
| withColumnRenamed-method | rename |
| withWatermark | withWatermark |
| withWatermark-method | withWatermark |
| write.df | Save the contents of SparkDataFrame to a data source. |
| write.df-method | Save the contents of SparkDataFrame to a data source. |
| write.jdbc | Save the content of SparkDataFrame to an external database table via JDBC. |
| write.jdbc-method | Save the content of SparkDataFrame to an external database table via JDBC. |
| write.json | Save the contents of SparkDataFrame as a JSON file |
| write.json-method | Save the contents of SparkDataFrame as a JSON file |
| write.ml | Saves the MLlib model to the input path |
| write.ml-method | Alternating Least Squares (ALS) for Collaborative Filtering |
| write.ml-method | Bisecting K-Means Clustering Model |
| write.ml-method | Decision Tree Model for Regression and Classification |
| write.ml-method | FP-growth |
| write.ml-method | Multivariate Gaussian Mixture Model (GMM) |
| write.ml-method | Gradient Boosted Tree Model for Regression and Classification |
| write.ml-method | Generalized Linear Models |
| write.ml-method | Isotonic Regression Model |
| write.ml-method | K-Means Clustering Model |
| write.ml-method | Latent Dirichlet Allocation |
| write.ml-method | Logistic Regression Model |
| write.ml-method | Multilayer Perceptron Classification Model |
| write.ml-method | Naive Bayes Models |
| write.ml-method | Random Forest Model for Regression and Classification |
| write.ml-method | Accelerated Failure Time (AFT) Survival Regression Model |
| write.ml-method | Linear SVM Model |
| write.orc | Save the contents of SparkDataFrame as an ORC file, preserving the schema. |
| write.orc-method | Save the contents of SparkDataFrame as an ORC file, preserving the schema. |
| write.parquet | Save the contents of SparkDataFrame as a Parquet file, preserving the schema. |
| write.parquet-method | Save the contents of SparkDataFrame as a Parquet file, preserving the schema. |
| write.stream | Write the streaming SparkDataFrame to a data source. |
| write.stream-method | Write the streaming SparkDataFrame to a data source. |
| write.text | Save the content of SparkDataFrame in a text file at the specified path. |
| write.text-method | Save the content of SparkDataFrame in a text file at the specified path. |
| year | Date time functions for Column operations |
| year-method | Date time functions for Column operations |
| !-method | ! |
| $ | Select |
| $-method | Select |
| $<- | Select |
| $<--method | Select |
| %<=>% | %<=>% |
| %<=>%-method | %<=>% |
| %in% | Match a column with given values. |
| %in%-method | Match a column with given values. |
| [ | Subset |
| [-method | Subset |
| [[ | Subset |
| [[-method | Subset |
| [[<- | Subset |
| [[<--method | Subset |