![[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 |
| acos | acos |
| add_months | add_months |
| AFTSurvivalRegressionModel-class | S4 class that represents a AFTSurvivalRegressionModel |
| agg | Count |
| agg | summarize |
| alias | alias |
| approxCountDistinct | approxCountDistinct |
| approxQuantile | crosstab |
| arrange | Arrange |
| array_contains | array_contains |
| as.data.frame | Download data from a SparkDataFrame into a data.frame |
| as.data.frame-method | Download data from a SparkDataFrame into a data.frame |
| as.DataFrame | Create a SparkDataFrame |
| asc | S4 class that represents a SparkDataFrame column |
| ascii | ascii |
| asin | asin |
| atan | atan |
| atan2 | atan2 |
| attach | Attach SparkDataFrame to R search path |
| attach-method | Attach SparkDataFrame to R search path |
| avg | avg |
| base64 | base64 |
| between | between |
| between | S4 class that represents a SparkDataFrame column |
| bin | bin |
| bitwiseNOT | bitwiseNOT |
| bround | bround |
| cache | Cache |
| cacheTable | Cache Table |
| cancelJobGroup | Cancel active jobs for the specified group |
| cast | Casts the column to a different data type. |
| cast | S4 class that represents a SparkDataFrame column |
| cbrt | cbrt |
| ceil | ceil |
| ceiling | ceil |
| clearCache | Clear Cache |
| clearJobGroup | Clear current job group ID and its description |
| col | Though scala functions has "col" function, we don't expose it in SparkR because we don't want to conflict with the "col" function in the R base package and we also have "column" function exported which is an alias of "col". |
| collect | Collects all the elements of a SparkDataFrame and coerces them into an R data.frame. |
| colnames | Column names |
| colnames<- | Column names |
| coltypes | coltypes |
| coltypes<- | coltypes |
| column | Though scala functions has "col" function, we don't expose it in SparkR because we don't want to conflict with the "col" function in the R base package and we also have "column" function exported which is an alias of "col". |
| Column-class | S4 class that represents a SparkDataFrame column |
| columns | Column names |
| columns | Get schema object |
| concat | concat |
| concat_ws | concat_ws |
| contains | S4 class that represents a SparkDataFrame column |
| conv | conv |
| corr | corr |
| corr | crosstab |
| cos | cos |
| cosh | cosh |
| count | count |
| count | nrow |
| count-method | Count |
| countDistinct | Count Distinct |
| cov | cov |
| cov | crosstab |
| covar_pop | covar_pop |
| covar_pop | crosstab |
| covar_samp | cov |
| covar_samp | crosstab |
| crc32 | crc32 |
| createDataFrame | Create a SparkDataFrame |
| createExternalTable | Create an external table |
| crosstab | crosstab |
| cume_dist | cume_dist |
| dapply | dapply |
| dapplyCollect | dapply |
| dataFrame | S4 class that represents a SparkDataFrame |
| datediff | datediff |
| date_add | date_add |
| date_format | date_format |
| date_sub | date_sub |
| dayofmonth | dayofmonth |
| dayofyear | dayofyear |
| decode | decode |
| dense_rank | dense_rank |
| desc | S4 class that represents a SparkDataFrame column |
| describe | summary |
| dim | Returns the dimensions (number of rows and columns) of a SparkDataFrame |
| distinct | Distinct |
| drop | drop |
| dropDuplicates | dropDuplicates |
| dropna | dropna |
| dropTempTable | Drop Temporary Table |
| dtypes | DataTypes |
| dtypes | Get schema object |
| encode | encode |
| endsWith | S4 class that represents a SparkDataFrame column |
| except | except |
| exp | exp |
| explain | Explain |
| explode | explode |
| expm1 | expm1 |
| expr | expr |
| factorial | factorial |
| fillna | dropna |
| filter | Filter |
| first | 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 |
| floor | floor |
| format_number | format_number |
| format_string | format_string |
| freqItems | crosstab |
| from_unixtime | from_unixtime |
| from_utc_timestamp | from_utc_timestamp |
| GeneralizedLinearRegressionModel-class | S4 class that represents a generalized linear model |
| generateAliasesForIntersectedCols | Creates a list of columns by replacing the intersected ones with aliases. The name of the alias column is formed by concatanating the original column name and a suffix. |
| getField | S4 class that represents a SparkDataFrame column |
| getItem | S4 class that represents a SparkDataFrame column |
| glm | Fits a generalized linear model (R-compliant). |
| glm-method | Fits a generalized linear model (R-compliant). |
| greatest | greatest |
| groupBy | GroupBy |
| groupedData | S4 class that represents a GroupedData |
| GroupedData-class | S4 class that represents a GroupedData |
| group_by | GroupBy |
| hash | hash |
| hashCode | Compute the hashCode of an object |
| head | Head |
| hex | hex |
| histogram | Histogram |
| hour | hour |
| hypot | hypot |
| ifelse | ifelse |
| infer_type | infer the SQL type |
| initcap | initcap |
| insertInto | insertInto |
| instr | instr |
| intersect | Intersect |
| is.nan | is.nan |
| isLocal | isLocal |
| isNaN | S4 class that represents a SparkDataFrame column |
| isnan | is.nan |
| isNotNull | S4 class that represents a SparkDataFrame column |
| isNull | S4 class that represents a SparkDataFrame column |
| join | Join |
| jsonFile | Create a SparkDataFrame from a JSON file. |
| KMeansModel-class | S4 class that represents a KMeansModel |
| kurtosis | kurtosis |
| lag | lag |
| last | last |
| last_day | last_day |
| lead | lead |
| least | least |
| length | length |
| levenshtein | levenshtein |
| like | S4 class that represents a SparkDataFrame column |
| limit | Limit |
| lit | lit |
| loadDF | Load a SparkDataFrame |
| locate | locate |
| log | log |
| log10 | log10 |
| log1p | log1p |
| log2 | log2 |
| lower | lower |
| lpad | lpad |
| ltrim | ltrim |
| max | max |
| md5 | md5 |
| mean | mean |
| merge | Merges two data frames |
| min | min |
| minute | minute |
| month | month |
| months_between | months_between |
| mutate | Mutate |
| n | count |
| na.omit | dropna |
| NaiveBayesModel-class | S4 class that represents a NaiveBayesModel |
| names | Column names |
| names<- | Column names |
| nanvl | nanvl |
| ncol | Returns the number of columns in a SparkDataFrame |
| negate | negate |
| next_day | next_day |
| nrow | nrow |
| ntile | ntile |
| n_distinct | Count Distinct |
| orderBy | Arrange |
| otherwise | S4 class that represents a SparkDataFrame column |
| otherwise | otherwise |
| over | over |
| parquetFile | Create a SparkDataFrame from a Parquet file. |
| partitionBy | partitionBy |
| percent_rank | percent_rank |
| persist | Persist |
| pmod | pmod |
| predict | Make predictions from a generalized linear model |
| predict-method | Make predictions from a generalized linear model |
| print.jobj | Print a JVM object reference. |
| print.structField | Print a Spark StructField. |
| print.structType | Print a Spark StructType. |
| print.summary.GeneralizedLinearRegressionModel | Print the summary of GeneralizedLinearRegressionModel |
| printSchema | Print Schema of a SparkDataFrame |
| printSchema | Get schema object |
| quarter | quarter |
| rand | rand |
| randn | randn |
| rangeBetween | rangeBetween |
| rank | rank |
| rbind | rbind |
| read.df | 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.ml | Load a fitted MLlib model from the input path. |
| read.parquet | Create a SparkDataFrame from a Parquet file. |
| read.text | Create a SparkDataFrame from a text file. |
| regexp_extract | regexp_extract |
| regexp_replace | regexp_replace |
| registerTempTable | Register Temporary Table |
| rename | rename |
| repartition | Repartition |
| reverse | reverse |
| rint | rint |
| rlike | S4 class that represents a SparkDataFrame column |
| round | round |
| rowsBetween | rowsBetween |
| row_number | row_number |
| rpad | rpad |
| rtrim | rtrim |
| sample | Sample |
| sampleBy | crosstab |
| sample_frac | Sample |
| saveAsParquetFile | write.parquet |
| saveAsTable | saveAsTable |
| saveDF | Save the contents of the SparkDataFrame to a data source |
| schema | Get schema object |
| sd | sd |
| second | second |
| select | Select |
| select-method | Select |
| selectExpr | Select |
| selectExpr | SelectExpr |
| 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. |
| setLogLevel | Set new log level |
| sha1 | sha1 |
| sha2 | sha2 |
| shiftLeft | shiftLeft |
| shiftRight | shiftRight |
| shiftRightUnsigned | shiftRightUnsigned |
| show | show |
| show-method | show |
| showDF | showDF |
| sign | signum |
| signum | signum |
| sin | sin |
| sinh | sinh |
| size | size |
| skewness | skewness |
| sort_array | sort_array |
| soundex | soundex |
| spark.glm | Fits a generalized linear model |
| spark.glm-method | Fits a generalized linear model |
| spark.kmeans | Fit a k-means model |
| spark.kmeans-method | Fit a k-means model |
| spark.lapply | Run a function over a list of elements, distributing the computations with Spark. |
| spark.naiveBayes | Fit a Bernoulli naive Bayes model |
| spark.naiveBayes-method | Fit a Bernoulli naive Bayes model |
| spark.survreg | Fit an accelerated failure time (AFT) survival regression model. |
| spark.survreg-method | Fit an accelerated failure time (AFT) survival regression model. |
| SparkDataFrame-class | S4 class that represents a SparkDataFrame |
| sparkR.init | Initialize a new Spark Context. |
| sparkR.stop | Stop the Spark context. |
| sparkRHive.init | Initialize a new HiveContext. |
| sparkRSQL.init | Initialize a new SQLContext. |
| sql | SQL Query |
| sqrt | sqrt |
| startsWith | S4 class that represents a SparkDataFrame column |
| stddev | sd |
| stddev_pop | stddev_pop |
| stddev_samp | stddev_samp |
| str | Compactly display the structure of a dataset |
| struct | struct |
| structField | structField |
| structType | structType |
| subset | Subset |
| substr | substr |
| substring_index | substring_index |
| sum | sum |
| sumDistinct | sumDistinct |
| summarize | Count |
| summarize | summarize |
| summary | summary |
| summary-method | summary |
| tableNames | Table Names |
| tables | Tables |
| tableToDF | Create a SparkDataFrame from a SparkSQL Table |
| take | Take the first NUM rows of a SparkDataFrame and return a the results as a data.frame |
| tan | tan |
| tanh | tanh |
| toDegrees | toDegrees |
| toRadians | toRadians |
| to_date | to_date |
| to_utc_timestamp | to_utc_timestamp |
| transform | Mutate |
| translate | translate |
| trim | trim |
| unbase64 | unbase64 |
| uncacheTable | Uncache Table |
| unhex | unhex |
| unionAll | rbind |
| unique | Distinct |
| unix_timestamp | unix_timestamp |
| unpersist | Unpersist |
| upper | upper |
| var | var |
| variance | var |
| var_pop | var_pop |
| var_samp | var_samp |
| weekofyear | weekofyear |
| when | S4 class that represents a SparkDataFrame column |
| when | when |
| where | Filter |
| window | window |
| window.orderBy | window.orderBy |
| window.partitionBy | window.partitionBy |
| 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 |
| withColumnRenamed | rename |
| write.df | Save the contents of the SparkDataFrame to a data source |
| write.jdbc | Saves the content of the SparkDataFrame to an external database table via JDBC |
| write.json | write.json |
| write.ml | Save the Bernoulli naive Bayes model to the input path. |
| write.parquet | write.parquet |
| write.text | write.text |
| year | year |
| $ | Select |
| $<- | Select |
| %in% | Match a column with given values. |
| [ | Subset |
| [[ | Subset |