Displaying 4 results from an estimated 4 matches for "resultmat".
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2012 Dec 10
1
Can somebody suggest how to achieve following data manipulation?
...as.Date("2012-03-01"), length.out = 100, by
= "1 month")))); rownames(RawData) <- "XYZ"
CutOffDate <- as.Date("2012-09-01")
NewDateSeries <- as.character(as.yearmon(seq(CutOffDate, to =
as.Date("2025-01-01"), by = "1 month")))
ResultMat <- matrix(NA, 1, length(NewDateSeries))
colnames(ResultMat) <- NewDateSeries
rownames(ResultMat) <- "Result"
RawData
ResultMat
Now I need to pass the elements of 'RawData' to 'ResultMat' in following
way:
Consider the column 'Sep 2012' of 'ResultM...
2002 Nov 12
4
trouble positioning legends on barplot written to a file
...The
particular data I have fill up the plotting area (stacked bar charts, going to
100% in each bar)
2) I've tried using "locator()" to position the legend. This only works, so
far, if I am not using trying to divert output to another device -- like
creating a PDF via
pdf();
barplot(resultmat);
dev.off();
so if I take out the pdf() and the dev.off() and just do this:
barplot(resultmat);
legend(locator(1),legend=l,fill=colors);
it works, on the graphics display device window on screen.
However, if I do this:
pdf(onefile=FALSE);
barplot(resultmat);
legend(locator(1),legend=l,fill=color...
2011 Jun 23
2
Confidence interval from resampling
...wei.shape, scale = xwei.scale
draw <- lapply(1:100, function(.x){
out<-rweibull(x, shape=xwei.shape, scale = xwei.scale)
})
newx<- data.frame(draw)
colnames(newx)<-paste("x", 1:100, sep = "")
newmat<-data.matrix(newx)
# matrix of coefficients
rownum=2
colnum=100
ResultMat<-matrix(NA, ncol=colnum, nrow=rownum)
rownum2=45
colnum2=100
ResultMat2<-matrix(NA, ncol=colnum2, nrow=rownum2)
#loop through each column in the source matrix
for (i in 1:100)
{
sel_col<-newmat[col(newmat)==i]
{ResultMat[,i]<-coef(fitdistr(sel_col,"weibul...
2008 Jul 29
1
correlation between matrices - both with some NAs
Hi everyone,
I'm having trouble applying the Cor() function to two matrices, both of
which contain NAs. I am doing the following:
a<-cor(m1, m2, use="complete.obs")
... and I get the following error message:
Error in cor(m1, m2, use = "complete.obs") :
no complete element pairs
Does anyone know how I can apply a correlation, ignoring any NAs?
Thanks,
rcoder
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