CornerstoneR (version 2.0.0)

reshapeWide: Reshape Grouped Data to Wide

Description

Reshaping grouped data via dcast to 'wide' format with rows for each unique combination of group variables. The response are arranged in separate columns for each datum in predictors. If a combination of groups identifies multiple rows, the number of rows in a group is returned to CS for the whole dataset instead of the response variable value.

Usage

reshapeWide(
  dataset = cs.in.dataset(),
  preds = cs.in.predictors(),
  resps = cs.in.responses(),
  groups = cs.in.groupvars(),
  auxs = cs.in.auxiliaries(),
  scriptvars = cs.in.scriptvars(),
  return.results = FALSE,
  ...
)

Arguments

dataset

[data.frame] Dataset with named columns. The names correspond to predictors and responses.

preds

[character] Character vector of predictor variables.

resps

[character] Character vector of response variables.

groups

[character] Character vector of group variables.

auxs

[character] Character vector of auxiliary variables.

scriptvars

[list] Named list of script variables set via the Cornerstone "Script Variables" menu. For details see below.

return.results

[logical(1)] If FALSE the function returns TRUE invisibly. If TRUE, it returns a list of results. Default is FALSE.

...

[ANY] Additional arguments to be passed to dcast . Please consider possible script variables (scriptvars) to prevent duplicates.

Value

Logical [TRUE] invisibly and outputs to Cornerstone or, if return.results = TRUE, list of resulting data.frame object:

reshapeWide

Dataset with reshaped data.

Details

One script variables is summarized in scriptvars list:

drop

[logical(1)] Drop missing combinations (TRUE) or include all (FALSE). Default is TRUE. For details see dcast.

Examples

# NOT RUN {
# Reshape dataset to wide format:
reshapeWide(Indometh, "time", "conc", "Subject", character(0)
            , list(drop = TRUE, aggr.fun = "mean"), return.results = TRUE
            )
# }