MixedModelPlot: Plot for category variables

In usplos/YawMMF: Effective functions for Generalized Mixed Model

Plot for category variables

Description

To plot for experimental data in which the indepdent variables are factor variables.

Usage

MixedModelPlot(Data = NULL, DV, SE = NULL, Pred, Modx = NULL, Mod2 = NULL,
            Geom = 'bar',
            Barwidth = 0.5, Fill=NULL,DodgeWidth = 0.5,
            Color = NULL,
            ErrorBarWidth = 0.2, ErrorBarColor = 'black',
            ViolinWidth = 0.5, BoxWidth = 0.1,
            ViolindataBandWidth = 0.5, ViolindataAlpha = 0.5,
            Xlab = NULL, Ylab = NULL, Title = NULL, Legend = NULL,
            Edit = F)

Arguments

Data	The data used to plot
DV	Dependent variable. A character element
SE	Name of standard error in data, useful for bar plot and interaction plot
Pred	The variable of the x axis
Modx	The first modulator
Mod2	The second modulator
Geom	Can be one of the four options: 'bar','line','violin1','violin2'
Barwidth	The width of bar
Fill	The color to fill
DodgeWidth	Set the position_dodge
Color	The color of line and point
ErrorBarWidth	Width of errorbar
ErrorBarColor	Color of errorbar, only useful for bar plot
ViolinWidth	Width of one violin bar in violin plot
Group	Whether there is special group on which the mean should be calculate for violin plot, ususally the subject variable. The default value is NULL, i.e. no such group. Otherwise, set this parameter the group variable. A character variable
BoxWidth	Width of one box in violin plot
ViolindataBandWidth	Width of raw data band in violin plot
ViolindataAlpha	Transparency of raw data in violin plot
Xlab	X axis label
Ylab	Y axis label
Title	Title of plot
Legend	Label of legend
Edit	Whether to edit the plot using ggedit package

Examples

## Example : Bar plot

MixedModelPlot(Data = MixedModelDataSummary(DemoData,DV = 'DV',Cond = 'CondA,CondB',Group = 'subj'),
               DV = 'DV_Mean',SE = 'DV_SE',
               Pred = 'CondA',Modx = 'CondB',
               Geom = 'bar',Barwidth = 0.9,Fill = gray(c(0.2,0.5)),
               DodgeWidth = 0.9, ErrorBarWidth = 0.2, ErrorBarColor = 'red')

## Example : Line plot
MixedModelPlot(Data = MixedModelDataSummary(DemoData,DV = 'DV',Cond = 'CondA,CondB',Group = 'subj'),
               DV = 'DV_Mean',SE = 'DV_SE',
               Pred = 'CondA',Modx = 'CondB',Geom = 'line',
               DodgeWidth = 0.9,
               ErrorBarWidth = 0.2,
               Color = gray(c(0.2,0.5)),Xlab = 'X axis',Ylab = 'Y axis',Title = 'This is title',Legend = 'Condition B')

## Example: Violine and boxplot
MixedModelPlot(Data = DemoData,
               DV = 'DV',Pred = 'CondA',Modx = 'type',Mod2 = 'CondB',
               Geom = 'violin1',Fill = gray(c(0.5, 0.8)),
               DodgeWidth = 0.9, ViolinWidth = 0.9, BoxWidth = 0.1, Legend = 'Type')

## Example : Violine and Raw data
MixedModelPlot(Data = DemoData,
               DV = 'DV',Pred = 'CondA',Modx = 'type',Mod2 = 'CondB',
               Geom = 'violin2',Fill = gray(c(0.5, 0.8)), Group = 'subj',
               DodgeWidth = 1, ViolinWidth = 1, ViolindataBandWidth = 0.5, ViolindataAlpha = 0.6,
               Legend = 'XXX')

usplos/YawMMF documentation built on July 12, 2024, 1:35 a.m.