R-philes,
I have a question about displaying counts of unused factors using the
table() function. I have two vectors with character data in them:
local.labels(ah, ah, ah~)
local.preds(ah, ah, ah)
If I use the table function as shown below, I get an error because the
number of levels do
Dear R-philes,
I am plotting ROC curves for several cross-validation runs of a
classifier (using the function below). In addition to the average
AUC, I am interested in obtaining a confidence interval for the
average AUC. Is there a straightforward way to do this via the ROCR
package?
, at 3:53 AM, Na'im R. Tyson wrote:
Dear R-philes,
I am plotting ROC curves for several cross-validation runs of a
classifier (using the function below). In addition to the
average AUC, I am interested in obtaining a confidence interval
for the average AUC. Is there a straightforward way to do
(state.division, state.region), rowlabel = X, collabel =
Y, file = )
On Wed, Dec 9, 2009 at 12:04 AM, Na'im R. Tyson
nty...@clovermail.net wrote:
Dear R-philes:
I am having an issue with exporting contingency tables with
xtable(). I set
up a contingency and convert it to a matrix for passing
Dear R-philes:
I am having an issue with exporting contingency tables with xtable().
I set up a contingency and convert it to a matrix for passing to
xtable() as shown below.
v.cont.table - table(v_lda$class, grps,
dnn=c(predicted, observed))
v.cont.mat - as.matrix(v.cont.table)
Dear R-philes,
I am having some trouble averaging across multiple runs of a
classifier in an ROC Curve. I am using the ROCR package and the
plot() method.
First, I initialize a list with two elements where each element is a
list of predictions and labels:
vowel.ROC -
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