Draw conditional effect plot
Draw conditional effect plot
condPlot( fit, xmode = 1, pred = NULL, modx = NULL, pred.values = NULL, modx.values = NULL, labels = NULL, mode = 1, rangemode = 1, ypos = NULL, hjust = NULL, linecolor = "gray60", linetype = 2, linesize = 1, arrowsize = 1, digits = 3, depM = FALSE, ... )
fit |
An onject of class lm |
xmode |
integer. 1 or 2. |
pred |
name of predictor variable |
modx |
name of moderator variable |
pred.values |
Values of predictor variables |
modx.values |
Values of modifier variables |
labels |
labels of regression lines |
mode |
integer. one of 1:3. |
rangemode |
integer. 1 or 2 |
ypos |
integer. label y position. |
hjust |
hjust of label |
linecolor |
name of color of vline and hline |
linetype |
linetype of arrow |
linesize |
size of regression line |
arrowsize |
size of arrow |
digits |
integer indicating the number of decimal places |
depM |
logical If true, label M instead of X |
... |
further arguments to be passed to add_lines |
fit=lm(justify~frame*skeptic,data=disaster)
condPlot(fit,rangemode=2,xpos=0.7,labels=c("Climate change(X=1)","Natural causes(X=0)"))
condPlot(fit,mode=2,xpos=0.6)
condPlot(fit,mode=3,rangemode=2,xpos=0.5)
condPlot(fit,xmode=2)
condPlot(fit,xmode=2,mode=2)
condPlot(fit,xmode=2,mode=3)
fit=lm(mpg~vs*hp,data=mtcars)
condPlot(fit,rangemode=2,xpos=0.6)
condPlot(fit,mode=2,xpos=0.5)
condPlot(fit,mode=3,rangemode=2)
fit=lm(govact~negemot*age+posemot+ideology+sex,data=glbwarm)
condPlot(fit,xmode=2,hjust=c(-0.1,-0.1,1.1))
condPlot(fit,xmode=2,pred.values=c(30,70),hjust=c(-0.1,-0.1,1.1),xpos=0.5)
condPlot(fit,xmode=2,mode=2,pred.values=c(30,50,70),xpos=0.2)
condPlot(fit,xmode=2,mode=3,xpos=0.5,hjust=c(-0.1,-0.1,1.1))
condPlot(fit,xmode=2,modx.values=c(2,3,4),mode=3,xpos=0.6)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.