![[R logo]](http://stat.ethz.ch/R-manual/R-devel/doc/html/Rlogo.svg)
![[Up]](http://stat.ethz.ch/R-manual/R-devel/doc/html/left.jpg)
![[Top]](http://stat.ethz.ch/R-manual/R-devel/doc/html/up.jpg)
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 | abs |
| abs-method | abs |
| acos | acos |
| acos-method | acos |
| add_months | add_months |
| add_months-method | add_months |
| 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 | Returns the approximate number of distinct items in a group |
| approxCountDistinct-method | Returns the approximate number of distinct items in a group |
| 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 |
| array_contains | array_contains |
| array_contains-method | array_contains |
| 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 | ascii |
| ascii-method | ascii |
| asin | asin |
| asin-method | asin |
| associationRules-method | FP-growth |
| atan | atan |
| atan-method | atan |
| atan2 | atan2 |
| atan2-method | atan2 |
| 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 | base64 |
| base64-method | base64 |
| between | between |
| between-method | between |
| bin | bin |
| bin-method | bin |
| BisectingKMeansModel-class | S4 class that represents a BisectingKMeansModel |
| bitwiseNOT | bitwiseNOT |
| bitwiseNOT-method | bitwiseNOT |
| bround | bround |
| bround-method | bround |
| 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 | cbrt |
| cbrt-method | cbrt |
| ceil | Computes the ceiling of the given value |
| ceil-method | Computes the ceiling of the given value |
| ceiling | Computes the ceiling of the given value |
| ceiling-method | Computes the ceiling of the given value |
| 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 |
| 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. |
| 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 |
| concat | concat |
| concat-method | concat |
| concat_ws | concat_ws |
| concat_ws-method | concat_ws |
| contains | A set of operations working with SparkDataFrame columns |
| conv | conv |
| conv-method | conv |
| corr | corr |
| corr-method | corr |
| cos | cos |
| cos-method | cos |
| cosh | cosh |
| cosh-method | cosh |
| count | Count |
| count-method | Count |
| count-method | Returns the number of rows in a SparkDataFrame |
| countDistinct | Count Distinct Values |
| countDistinct-method | Count Distinct Values |
| cov | cov |
| cov-method | cov |
| covar_pop | covar_pop |
| covar_pop-method | covar_pop |
| covar_samp | cov |
| covar_samp-method | cov |
| crc32 | crc32 |
| crc32-method | crc32 |
| 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 |
| 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 |
| cume_dist | cume_dist |
| cume_dist-method | cume_dist |
| currentDatabase | Returns the current default database |
| dapply | dapply |
| dapply-method | dapply |
| dapplyCollect | dapplyCollect |
| dapplyCollect-method | dapplyCollect |
| datediff | datediff |
| datediff-method | datediff |
| date_add | date_add |
| date_add-method | date_add |
| date_format | date_format |
| date_format-method | date_format |
| date_sub | date_sub |
| date_sub-method | date_sub |
| dayofmonth | dayofmonth |
| dayofmonth-method | dayofmonth |
| dayofyear | dayofyear |
| dayofyear-method | dayofyear |
| decode | decode |
| decode-method | decode |
| dense_rank | dense_rank |
| dense_rank-method | dense_rank |
| desc | A set of operations working with SparkDataFrame columns |
| describe | summary |
| describe-method | summary |
| 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 |
| encode | encode |
| encode-method | encode |
| endsWith | endsWith |
| endsWith-method | endsWith |
| except | except |
| except-method | except |
| exp | exp |
| exp-method | exp |
| explain | Explain |
| explain-method | Explain |
| explode | explode |
| explode-method | explode |
| expm1 | expm1 |
| expm1-method | expm1 |
| expr | expr |
| expr-method | expr |
| factorial | factorial |
| factorial-method | factorial |
| 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 |
| floor | floor |
| floor-method | floor |
| format_number | format_number |
| format_number-method | format_number |
| format_string | format_string |
| format_string-method | format_string |
| 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 | from_json |
| from_json-method | from_json |
| from_unixtime | from_unixtime |
| from_unixtime-method | from_unixtime |
| from_utc_timestamp | from_utc_timestamp |
| from_utc_timestamp-method | from_utc_timestamp |
| 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 |
| generateAliasesForIntersectedCols | Creates a list of columns by replacing the intersected ones with aliases |
| getField | A set of operations working with SparkDataFrame columns |
| getItem | A set of operations working with SparkDataFrame columns |
| getNumPartitions | getNumPartitions |
| getNumPartitions-method | getNumPartitions |
| glm | Generalized Linear Models (R-compliant) |
| glm-method | Generalized Linear Models (R-compliant) |
| greatest | greatest |
| greatest-method | greatest |
| groupBy | GroupBy |
| groupBy-method | GroupBy |
| groupedData | S4 class that represents a GroupedData |
| GroupedData-class | S4 class that represents a GroupedData |
| group_by | GroupBy |
| group_by-method | GroupBy |
| hash | hash |
| hash-method | hash |
| hashCode | Compute the hashCode of an object |
| head | Head |
| head-method | Head |
| hex | hex |
| hex-method | hex |
| hint | hint |
| hint-method | hint |
| histogram | Compute histogram statistics for given column |
| histogram-method | Compute histogram statistics for given column |
| hour | hour |
| hour-method | hour |
| hypot | hypot |
| hypot-method | hypot |
| ifelse | ifelse |
| ifelse-method | ifelse |
| initcap | initcap |
| initcap-method | initcap |
| insertInto | insertInto |
| insertInto-method | insertInto |
| install.spark | Download and Install Apache Spark to a Local Directory |
| instr | instr |
| instr-method | instr |
| intersect | Intersect |
| intersect-method | Intersect |
| is.nan | is.nan |
| is.nan-method | is.nan |
| isActive | isActive |
| isActive-method | isActive |
| isLocal | isLocal |
| isLocal-method | isLocal |
| isNaN | A set of operations working with SparkDataFrame columns |
| isnan | is.nan |
| isnan-method | is.nan |
| 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 | kurtosis |
| kurtosis-method | kurtosis |
| lag | lag |
| lag-method | lag |
| last | last |
| last-method | last |
| lastProgress | lastProgress |
| lastProgress-method | lastProgress |
| last_day | last_day |
| last_day-method | last_day |
| LDAModel-class | S4 class that represents an LDAModel |
| lead | lead |
| lead-method | lead |
| least | least |
| least-method | least |
| length | length |
| length-method | length |
| levenshtein | levenshtein |
| levenshtein-method | levenshtein |
| 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 | lit |
| lit-method | lit |
| loadDF | Load a SparkDataFrame |
| loadDF.default | Load a SparkDataFrame |
| locate | locate |
| locate-method | locate |
| log | log |
| log-method | log |
| log10 | log10 |
| log10-method | log10 |
| log1p | log1p |
| log1p-method | log1p |
| log2 | log2 |
| log2-method | log2 |
| LogisticRegressionModel-class | S4 class that represents an LogisticRegressionModel |
| lower | lower |
| lower-method | lower |
| lpad | lpad |
| lpad-method | lpad |
| ltrim | ltrim |
| ltrim-method | ltrim |
| max | max |
| max-method | max |
| md5 | md5 |
| md5-method | md5 |
| mean | mean |
| mean-method | mean |
| merge | Merges two data frames |
| merge-method | Merges two data frames |
| min | min |
| min-method | min |
| minute | minute |
| minute-method | minute |
| monotonically_increasing_id | monotonically_increasing_id |
| monotonically_increasing_id-method | monotonically_increasing_id |
| month | month |
| month-method | month |
| months_between | months_between |
| months_between-method | months_between |
| 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 | nanvl |
| nanvl-method | nanvl |
| ncol | Returns the number of columns in a SparkDataFrame |
| ncol-method | Returns the number of columns in a SparkDataFrame |
| negate | negate |
| negate-method | negate |
| next_day | next_day |
| next_day-method | next_day |
| nrow | Returns the number of rows in a SparkDataFrame |
| nrow-method | Returns the number of rows in a SparkDataFrame |
| ntile | ntile |
| ntile-method | ntile |
| n_distinct | Count Distinct Values |
| n_distinct-method | Count Distinct Values |
| 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 | percent_rank |
| percent_rank-method | percent_rank |
| 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 | pmod |
| pmod-method | pmod |
| posexplode | posexplode |
| posexplode-method | posexplode |
| 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 | 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.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 | quarter |
| quarter-method | quarter |
| queryName | queryName |
| queryName-method | queryName |
| rand | rand |
| rand-method | rand |
| randn | randn |
| randn-method | randn |
| 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 | rank |
| rank-method | rank |
| 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 | regexp_extract |
| regexp_extract-method | regexp_extract |
| regexp_replace | regexp_replace |
| regexp_replace-method | regexp_replace |
| registerTempTable | (Deprecated) Register Temporary Table |
| registerTempTable-method | (Deprecated) Register Temporary Table |
| rename | rename |
| rename-method | rename |
| repartition | Repartition |
| repartition-method | Repartition |
| reverse | reverse |
| reverse-method | reverse |
| rint | rint |
| rint-method | rint |
| rlike | A set of operations working with SparkDataFrame columns |
| round | round |
| round-method | round |
| rowsBetween | rowsBetween |
| rowsBetween-method | rowsBetween |
| row_number | row_number |
| row_number-method | row_number |
| rpad | rpad |
| rpad-method | rpad |
| rtrim | rtrim |
| rtrim-method | rtrim |
| 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 | sd |
| sd-method | sd |
| second | second |
| second-method | second |
| select | Select |
| select-method | Select |
| selectExpr | SelectExpr |
| selectExpr-method | SelectExpr |
| setCheckpointDir | Set checkpoint directory |
| setCurrentDatabase | Sets the current default database |
| 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. |
| setLogLevel | Set new log level |
| sha1 | sha1 |
| sha1-method | sha1 |
| sha2 | sha2 |
| sha2-method | sha2 |
| shiftLeft | shiftLeft |
| shiftLeft-method | shiftLeft |
| shiftRight | shiftRight |
| shiftRight-method | shiftRight |
| shiftRightUnsigned | shiftRightUnsigned |
| shiftRightUnsigned-method | shiftRightUnsigned |
| show | show |
| show-method | show |
| showDF | showDF |
| showDF-method | showDF |
| sign | signum |
| sign-method | signum |
| signum | signum |
| signum-method | signum |
| sin | sin |
| sin-method | sin |
| sinh | sinh |
| sinh-method | sinh |
| size | size |
| size-method | size |
| skewness | skewness |
| skewness-method | skewness |
| sort_array | sort_array |
| sort_array-method | sort_array |
| soundex | soundex |
| soundex-method | soundex |
| 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.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 | Return the partition ID as a column |
| spark_partition_id-method | Return the partition ID as a column |
| sql | SQL Query |
| sql.default | SQL Query |
| sqrt | sqrt |
| sqrt-method | sqrt |
| startsWith | startsWith |
| startsWith-method | startsWith |
| status | status |
| status-method | status |
| stddev | sd |
| stddev-method | sd |
| stddev_pop | stddev_pop |
| stddev_pop-method | stddev_pop |
| stddev_samp | stddev_samp |
| stddev_samp-method | stddev_samp |
| 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 | struct |
| struct-method | struct |
| structField | structField |
| structField.character | structField |
| structField.jobj | structField |
| structType | structType |
| structType.jobj | structType |
| structType.structField | structType |
| subset | Subset |
| subset-method | Subset |
| substr | substr |
| substr-method | substr |
| substring_index | substring_index |
| substring_index-method | substring_index |
| sum | sum |
| sum-method | sum |
| sumDistinct | sumDistinct |
| sumDistinct-method | sumDistinct |
| 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 | 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 | tan |
| tan-method | tan |
| tanh | tanh |
| tanh-method | tanh |
| toDegrees | toDegrees |
| toDegrees-method | toDegrees |
| toJSON | toJSON |
| toJSON-method | toJSON |
| toRadians | toRadians |
| toRadians-method | toRadians |
| to_date | to_date |
| to_date-method | to_date |
| to_json | to_json |
| to_json-method | to_json |
| to_timestamp | to_timestamp |
| to_timestamp-method | to_timestamp |
| to_utc_timestamp | to_utc_timestamp |
| to_utc_timestamp-method | to_utc_timestamp |
| transform | Mutate |
| transform-method | Mutate |
| translate | translate |
| translate-method | translate |
| trim | trim |
| trim-method | trim |
| unbase64 | unbase64 |
| unbase64-method | unbase64 |
| uncacheTable | Uncache Table |
| uncacheTable.default | Uncache Table |
| unhex | unhex |
| unhex-method | unhex |
| 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 |
| unique | Distinct |
| unique-method | Distinct |
| unix_timestamp | unix_timestamp |
| unix_timestamp-method | unix_timestamp |
| unpersist | Unpersist |
| unpersist-method | Unpersist |
| upper | upper |
| upper-method | upper |
| var | var |
| var-method | var |
| variance | var |
| variance-method | var |
| var_pop | var_pop |
| var_pop-method | var_pop |
| var_samp | var_samp |
| var_samp-method | var_samp |
| weekofyear | weekofyear |
| weekofyear-method | weekofyear |
| when | when |
| when-method | when |
| where | Filter |
| where-method | Filter |
| window | window |
| window-method | window |
| 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 |
| 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 | 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 | year |
| year-method | year |
| $ | Select |
| $-method | Select |
| $<- | Select |
| $<--method | Select |
| %in% | Match a column with given values. |
| %in%-method | Match a column with given values. |
| [ | Subset |
| [-method | Subset |
| [[ | Subset |
| [[-method | Subset |
| [[<- | Subset |
| [[<--method | Subset |