| withColumn {SparkR} | R Documentation |
Return a new DataFrame with the specified column added.
Return a new DataFrame with the specified columns added.
## S4 method for signature 'DataFrame,character,Column' withColumn(x, colName, col) ## S4 method for signature 'DataFrame' mutate(.data, ...) ## S4 method for signature 'DataFrame' transform(`_data`, ...) mutate(.data, ...) transform(`_data`, ...) withColumn(x, colName, col)
x |
A DataFrame |
colName |
A string containing the name of the new column. |
col |
A Column expression. |
.data |
A DataFrame |
col |
a named argument of the form name = col |
A DataFrame with the new column added.
A new DataFrame with the new columns added.
## Not run:
##D sc <- sparkR.init()
##D sqlContext <- sparkRSQL.init(sc)
##D path <- "path/to/file.json"
##D df <- jsonFile(sqlContext, path)
##D newDF <- withColumn(df, "newCol", df$col1 * 5)
## End(Not run)
## Not run:
##D sc <- sparkR.init()
##D sqlContext <- sparkRSQL.init(sc)
##D path <- "path/to/file.json"
##D df <- jsonFile(sqlContext, path)
##D newDF <- mutate(df, newCol = df$col1 * 5, newCol2 = df$col1 * 2)
##D names(newDF) # Will contain newCol, newCol2
##D newDF2 <- transform(df, newCol = df$col1 / 5, newCol2 = df$col1 * 2)
## End(Not run)