cdata (version 1.0.7)

pivot_to_rowrecs: Move values from rows to columns (pivot).

Description

This is a convenience notation for blocks_to_rowrecs. For a tutorial please try vignette('RowsAndColumns', package='cdata').

Usage

pivot_to_rowrecs(data, columnToTakeKeysFrom, columnToTakeValuesFrom,
  rowKeyColumns, ..., sep = NULL, checkNames = TRUE,
  checkKeys = TRUE, strict = FALSE)

Arguments

data

data.frame to work with (must be local, for remote please try moveValuesToColumns*).

columnToTakeKeysFrom

character name of column build new column names from.

columnToTakeValuesFrom

character name of column to get values from.

rowKeyColumns

character array names columns that should be table keys.

...

force later arguments to bind by name.

sep

character if not null build more detailed column names.

checkNames

logical, if TRUE check names.

checkKeys

logical, if TRUE check keyColumns uniquely identify blocks (required).

strict

logical, if TRUE check control table name forms

Value

new data.frame with values moved to columns.

See Also

unpivot_to_blocks, blocks_to_rowrecs

Examples

# NOT RUN {
  d <- data.frame(meas= c('AUC', 'R2'), val= c(0.6, 0.2))
  pivot_to_rowrecs(d,
                   columnToTakeKeysFrom= 'meas',
                   columnToTakeValuesFrom= 'val',
                   rowKeyColumns= c()) %.>%
     print(.)

# }