On 01.05.2010 21:09, Giovanni Azua wrote:
Hello,
I have three method types and 100 generalization errors for each, all in the
range [0.65,0.81]. I would like to make a stacked histogram plot using ggplot2
with this data ...
Therefore I need a data frame of the form e.g.
Method GE
---------- ------
"Classic" 0.76
"Classic" 0.79
"Own Bootstrap" 0.81
"Own Bootstrap" 0.79
"R Bootstrap" 0.71
"R Bootstrap" 0.75
So I combine the data in the following way:
normalerrors<- rbind(cbind(rep("Classic",S),classicge[,1]),
cbind(rep("Own Bootstrap",S),ownge[,1]),cbind(rep("R
Bootstrap",S),rbootge[,1]))
normalerrors<- data.frame(method=factor(normalerrors[,1]),ge=normalerrors[,2])
But doing it in this way my GE coefficients get automatically converted to
string type ... how can I avoid this conversion when doing the cbind?
Not at all, since cbind() constructs a matrix which is of exactly one
type. You probably want to construct the data.frame directly as in
labels <- c("Classic", "Own Bootstrap", "R Bootstrap")
normalerrors <- data.frame(
method = gl(length(labels), S, labels = labels),
ge = c(classicge[,1], ownge[,1], rbootge[,1]))
Best,
Uwe Ligges
TIA,
Best regards,
Giovanni
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