plotMeans: Plot Means for One or Two-Way Layout

Description

Plot Means for One or Two-Way Layout

Usage

plotMeans(
  response,
  factor1,
  factor2,
  error.bars = c("se", "sd", "conf.int", "none"),
  level = 0.95,
  xlab = deparse(substitute(factor1)),
  ylab = paste("mean of", deparse(substitute(response))),
  legend.lab = deparse(substitute(factor2)),
  legend.pos = c("farright", "bottomright", "bottom", "bottomleft", "left", "topleft",
    "top", "topright", "right", "center"),
  main = "Plot of Means",
  pch = 1:n.levs.2,
  lty = 1:n.levs.2,
  col = palette(),
  connect = TRUE,
  ...
)

Value

The function invisibly returns NULL.

Arguments

response: Numeric variable for which means are to be computed.
factor1: Factor defining horizontal axis of the plot.
factor2: If present, factor defining profiles of means.
error.bars: If "se", the default, error bars around means give plus or minus one standard error of the mean; if "sd", error bars give plus or minus one standard deviation; if "conf.int", error bars give a confidence interval around each mean; if "none", error bars are suppressed.
level: level of confidence for confidence intervals; default is .95
xlab: Label for horizontal axis.
ylab: Label for vertical axis.
legend.lab: Label for legend.
legend.pos: Position of legend; if "farright" (the default), extra space is left at the right of the plot.
main: Label for the graph.
pch: Plotting characters for profiles of means.
lty: Line types for profiles of means.
col: Colours for profiles of means.
connect: connect profiles of means, default TRUE.
...: arguments to be passed to plot.

Author

John Fox

Details

Plots cell means for a numeric variable in each category of a factor or in each combination of categories of two factors, optionally along with error bars based on cell standard errors or standard deviations.

Examples

Run this code

data(Moore)
with(Moore, plotMeans(conformity, fcategory, partner.status, ylim=c(0, 25)))

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