Displaying 5 results from an estimated 5 matches for "dfm2".
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df2
2017 Jul 16
2
About doing figures
...ors label column A. Each record uses a circle on the figure,
while hollow circles represent DF=1 and solid circles represent DF=2. I put
my code below, but the A labels do not correspond to the true record, so I
don't know what is the problem. Thanks for your help.
dfm
dfm1= subset(dfm, DF==1)
dfm2= subset(dfm, DF==2)
plot(c(15:30),seq(from=0,to=60,by=4),pch=19,col=NULL,xlab='Value
B',ylab='Value C')
Color = as.factor(dfm1$A)
colordist = grDevices::colors()[grep('gr(a|e)y', grDevices::colors(),
invert = T)] # for unique colors
Color.unq = sample(colordist,length(Color)...
2017 Jul 16
2
About doing figures
...llow circles represent DF=1 and solid circles represent DF=2. I
> put
> > my code below, but the A labels do not correspond to the true record, so
> I
> > don't know what is the problem. Thanks for your help.
> >
> > dfm
> > dfm1= subset(dfm, DF==1)
> > dfm2= subset(dfm, DF==2)
> > plot(c(15:30),seq(from=0,to=60,by=4),pch=19,col=NULL,xlab='Value
> > B',ylab='Value C')
> > Color = as.factor(dfm1$A)
> > colordist = grDevices::colors()[grep('gr(a|e)y', grDevices::colors(),
> > invert = T)] # for unique...
2017 Jul 16
0
About doing figures
...es a circle on the figure,
> while hollow circles represent DF=1 and solid circles represent DF=2. I put
> my code below, but the A labels do not correspond to the true record, so I
> don't know what is the problem. Thanks for your help.
>
> dfm
> dfm1= subset(dfm, DF==1)
> dfm2= subset(dfm, DF==2)
> plot(c(15:30),seq(from=0,to=60,by=4),pch=19,col=NULL,xlab='Value
> B',ylab='Value C')
> Color = as.factor(dfm1$A)
> colordist = grDevices::colors()[grep('gr(a|e)y', grDevices::colors(),
> invert = T)] # for unique colors
> Color.unq =...
2017 Jul 16
0
About doing figures
...solid circles represent DF=2. I
>> put
>> > my code below, but the A labels do not correspond to the true record,
>> so I
>> > don't know what is the problem. Thanks for your help.
>> >
>> > dfm
>> > dfm1= subset(dfm, DF==1)
>> > dfm2= subset(dfm, DF==2)
>> > plot(c(15:30),seq(from=0,to=60,by=4),pch=19,col=NULL,xlab='Value
>> > B',ylab='Value C')
>> > Color = as.factor(dfm1$A)
>> > colordist = grDevices::colors()[grep('gr(a|e)y', grDevices::colors(),
>> > inver...
2010 Aug 11
1
sem & psych
...c(0)
resultsM2 <- as.numeric(c(rep(-1, 12))) } else { # else needs
to be in the same line as the last command
myModlChiM2 <- try(summary(M2))
convergenceM2 <- as.numeric(M2$convergence)
chiM2 <- as.numeric(myModlChiM2$chisq)
dfM2 <- as.numeric(myModlChiM2$df)
chiM0 <- as.numeric(myModlChiM2$chisqNull)
dfM0 <- as.numeric(myModlChiM2$dfNull)
GFIM2 <- as.numeric(myModlChiM2$GFI)
AGFIM2 <- as.numeric(myModlChiM2$AGFI)
RMSEAM2 &l...