Plot different characters and colors according to factor on third variable.

Using the example dataset, and starting from running this

1. example syntax

I added the following syntax to the Example.Syntax.450.txt file  (linked above)


##   Two ways to plot based on category in third variable.

plot(NewConf2, NewConf1, pch=as.integer(TwoPlusComputers))

plot(jitter(NewConf2, factor=2), jitter(NewConf1, factor=2), pch=as.integer

(TwoPlusComputers))

coplot (NewConf1 ~ NewConf2 | TwoPlusComputers)
#  coplot ( y ~ X | Z)
#  y= outcome variable
#  X= causal variable
#  Z= third variable with categories that cases fall into


#  A better way, perhaps


(I copied the general strategy demonstrated on the R blog, here)


AllVars<-data.frame(cbind(
NewConf1,
TwoPlusComputers,
NewConf2,
RecNumbers,
Software,
UseSPSS,
UseExcel,
UseMinitab,
UseStatistica,
UseSAS,
UseR,
UseMplus,
UseFortran,
UseMatLab,
UseStatEase,
UsePython,
UseOther,
computers,
Confidence,
DadaRecConf,
OrgDataExcConf,
CodebookConf,
RdataLoadConf,
ExcelDescConf,
RdescConf,
RexploreConf,
ConsIndexConf,
CorrMatrixConf,
OrgVarRegConf,
InterpRegConf,
ConstGraphConf,
MethoRegStuConf))

Geek <- subset(AllVars, TwoPlusComputers == 1)
NonGeek <- subset(AllVars, TwoPlusComputers == 0)

plot(NewConf1, NewConf2, type='n',

xlab = "Confidence interpreting research",
ylab = "Confidence in research techniques",

main = "Research interpretation predicts technical confidence (Geeks vrs Non)",
col.main = "#444444")
points (jitter(NewConf1) ~ jitter(NewConf2), data = Geek, pch = "G", col = "blue")
points (jitter(NewConf1) ~ jitter(NewConf2), data = NonGeek, pch = "N", col = "red")