superbPlot.lineBand: superbPlot 'lineBand' layout

In dcousin3/superb: Summary Plots with Adjusted Error Bars

superbPlot 'lineBand' layout

Description

The lineBand layout displays an error band instead of individual error bars. This layout is convenient when you have many points on your horizontal axis (so that the error bars are difficult to distinguish) and when the results are fairly smooth.

The functions has these parameters:

Usage

superbPlot.lineBand(
  summarydata,
  xfactor,
  groupingfactor,
  addfactors,
  rawdata,
  pointParams = list(),
  lineParams = list(),
  errorbandParams = list(),
  facetParams = list(),
  xAsFactor = TRUE
)

Arguments

summarydata	a data.frame with columns "center", "lowerwidth" and "upperwidth" for each level of the factors;
xfactor	a string with the name of the column where the factor going on the horizontal axis is given;
groupingfactor	a string with the name of the column for which the data will be grouped on the plot;
addfactors	a string with up to two additional factors to make the rows and columns panels, in the form "fact1 ~ fact2";
rawdata	always contains "DV" for each participants and each level of the factors
pointParams	(optional) list of graphic directives that are sent to the geom_point layer
lineParams	(optional) list of graphic directives that are sent to the geom_jitter layer
errorbandParams	(optional) list of graphic directives that are sent to the geom_ribbon layer
facetParams	(optional) list of graphic directives that are sent to the facet_grid layer
xAsFactor	(optional) Boolean to indicate if the factor on the horizontal should continuous or discrete (default is discrete)

Value

a ggplot object

References

\insertAllCited

Examples

# this creates a fictious time series at 100 time points obtained in two conditions:
dta <- GRD( WSFactors = "timepoints (50) : condition(2)", 
    SubjectsPerGroup = 20,
    RenameDV = "activation",
    Effects = list("timepoints" = extent(5), "condition" = extent(3) ),
    Population=list(mean=50,stddev=10,rho=0.75)
)

# This will make a plot with error band
superb(
   crange(activation.1.1, activation.50.2) ~ ., 
   dta, 
   WSFactors   = c("timepoints(50)", "condition(2)"),
   adjustments = list(
        purpose       = "single",
        decorrelation = "CM"        ## or none for no decorrelation
   ),
   plotStyle="lineBand",            # note the uppercase B 
   pointParams = list(size= 1)      # making points smaller has better look
)

# if you extract the data with superbData, you can 
# run this layout directly
#processedData <- superb(
#   crange(activation.1.1, activation.50.2) ~ ., 
#   dta, 
#   WSFactors   = c("timepoints(50)", "condition(2)"), variables = colnames(dta)[2:101],
#   adjustments = list(
#        purpose       = "single",
#        decorrelation = "CM"        ## or none for no decorrelation
#   )
#)
#
#superbPlot.lineBand(processedData$summaryStatistic,
#   "timepoints",
#   "condition",
#   ".~.",
#   processedData$rawData)

dcousin3/superb documentation built on Oct. 29, 2024, 5:28 p.m.