So the example would optimally be
row.names(mf) <- namevector
This tests for the validity of the row names.
On Wed, 5 Jan 2005, Petr Pikal wrote:
On 4 Jan 2005 at 10:25, Derek Margetts wrote:
I have a question about changing rownames. In the following function I am plotting the regression coeficients with their corresponding mean. Right now, the labels on the plot and the rownames in the dataframe are x1,x2,x3...etc. Is there a way to make the row names the same as the variable name entered into the formula? I.E. if x1 was a vector called opinions, it would be labeled opinions on the plot instead of x1. I have tried using variations of rownames(x)<- namevector but have not been successful.
If your mf is your data frame
rownames(mf) <- namevector
with the same length should work.
BTW, If you have x1-x14 in data frame e.g. yourdf you can use
meanvec<-colMeans(yourdf, na.rm=TRUE)
Cheers Petr
I keep getting a null. Any suggestions would be appreciated
Quadplot<-function(y, x1, x2, x3 = NULL, x4 = NULL,x5=NULL,x6=NULL,x7=NULL,x8=NULL,x9=NULL,x10=NULL, x11=NULL, x12=NULL, x13=NULL, x14=NULL)
#section of code ommitted
my.formula <- as.formula("y ~ x1 + x2 + x3+ x4+ x5+ x6+ x7+ x8+ x9+x10+x11+x12+x13+x14") outlm <- lm(my.formula)
#section of code ommitted
meanvec<-c(mean(x1,na.rm=TRUE),mean(x2,na.rm=TRUE),mean(x3,na.rm=TRUE) ,mean(x4,na.rm=TRUE),mean(x5,na.rm=TRUE),mean(x6,na.rm=TRUE),mean(x7,n a.rm=TRUE),mean(x8,na.rm=TRUE),mean(x9,na.rm=TRUE),mean(x10,na.rm=TRUE ),mean(x11,na.rm=TRUE) ,mean(x12,na.rm=TRUE) ,mean(x13,na.rm=TRUE) ,mean(x14,na.rm=TRUE)) } meanper<-meanvec/6 meanper1<-meanper*100
#This is the data frame created mf <- data.frame(Impact = abs(outlm$coef[-1]), Performance = meanper1)
meanx<-mean(abs(outlm$coef[-1])) meany<-mean(meanper1) n<-length(meanvec) color<-rep("blue",n) color[(mf$Impact>meanx & mf$Performance>meany)]<-"green" color[(mf$Impact>meanx & mf$Performance<meany)]<-"red" color[(mf$Impact<meanx & mf$Performance>meany)]<-"gray"
plot((mf),col=color,main="Perfomance vs. Impact",xlab="Impact",ylab="Performance", type = "n") points(mf, pch=21, bg=color, cex=4) text(x = mf$Impact, y = mf$Performance, labels = rownames(mf)) abline(h=mean(mf$Performance)) abline(v=mean(mf$Impact)) print(mf) }
Thanks Derek
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Petr Pikal [EMAIL PROTECTED]
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