plotbinary: Plot raw data for binomial data

In gobbios/cfp: Christof's functions

Plot raw data for binomial data

Description

Plot raw data for binomial data

Usage

plotbinary(
  xdata,
  response,
  pred,
  pstructure = NULL,
  agg = FALSE,
  aggcol = NULL,
  xlimsglobal = FALSE,
  cexfac = pi,
  bin = NULL,
  pch = NULL,
  col = NULL,
  ylim = NULL,
  ...
)

Arguments

xdata	a data frame
response	character, the column name with the response variable (y-axis)
pred	character, the column name with the response variable (x-axis)
pstructure	optional, a named list the values for subsetting. Names of that list have to correspond to column names in xdata
agg	logical, should data be first aggregated over a third variable (e.g. individual)
aggcol	character, the column name for aggregation
xlimsglobal	logical of length 1, or numeric of length two
cexfac	expansion factor for points
bin	optional, numeric of length 1 or longer, if supplied the data will be binned along 'pred' in either a specific number of bins (if length 1) or along a specific break points (of length >1)
pch	optional point character (by default 16)
col	optional colour (by default transparent grey)
ylim	optional vector of length 2 for y-axis limits (by default c(0, 1))
...	more arguments for the plot, for example xlab=

Value

A plot

Examples

xdata <- data.frame(resp = sample(c(0,1), 1000, TRUE), ID = sort(sample(letters[1:20], 1000, TRUE)),
pred=sort(rnorm(1000))+rnorm(1000), cat1 = sample(1:3, 1000, TRUE), cat2 = sample(1:3, 1000, TRUE),
cat3 = sample(1:3, 1000, TRUE))
plotbinary(xdata = xdata, response = "resp", pred = "pred", agg = TRUE, aggcol = "ID")
plotbinary(xdata = xdata, response = "resp", pred = "pred", agg = TRUE, aggcol = "ID", cexfac = 1)

plotbinary(xdata = xdata, response = "resp", pred = "pred", agg = FALSE)
plotbinary(xdata = xdata, response = "resp", pred = "pred", agg = FALSE, bin=30)

gobbios/cfp documentation built on April 11, 2022, 2:22 a.m.