Hello all!
I´m fitting a mixed effects cox model with coxme function of coxme
package. I want to konw what is the best way to check the model
adequacy, once that function cox.zph does not work for coxme objects.
Thanks in advanced,
Raoni
--
Raoni Rosa Rodrigues
Research Associate of Fish Trans
No attachements. R-help is very picky about attachements.
I'd suggest supplying the data using dput() . See ?dput for more information
It is probably best to just copy and paste the code into your email. If this is
no practical try sending a plain text file with a .txt extension
John Kane
King
Dear all,
Here is an answer I found.
```
library(stringi)
src <- readBin("orglist-100.CSV", "raw", file.info("orglist-100.CSV")$size)
src2 <- stri_encode(src, "UTF-16LE", "UTF-8")
con <- textConnection(src2)
answer <- read.table(con, header = TRUE, sep = ",")
```
Hope it will help someone in the
On 10/28/2015 06:00 AM, r-help-requ...@r-project.org wrote:
Hello all!
I?m fitting a mixed effects cox model with coxme function of coxme package.
I want to konw what is the best way to check the model adequacy, once that
function cox.zph that does not work for coxme objects.
Thanks in advanc
Dear all,
I thought I would better send an image illustrating that the problem is
(hope the file gets through). In the picture, the matrix "m" is given by
## input
m <- structure(c(0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 2, 2,
2, 2, 2, 2, 2, 2, 2, 0, 0, 0, 3, 3, 3, 3, 3, 3, 3, 3, 3, 0, 0,
0
Your code does not produce the matrix in your image.
The first three rows contain all-zeros and the last row is missing.
The following line fixes that:
m <- rbind(m[-(1:3), ], 1:5)
Given that matrix, the following code produces the output
you have illustrated. It's so trivial however that I suspe
Hello,
It must be very easy.
I have data like this:
myframe <- data.frame (ID=c("Ernie", "Ernie", "Ernie", "Bert",
"Bert","Bert", "Duck"), Hunger=c(1,1,1,2,2,1,3) )
myframe
bighunger <- subset (myframe, myframe$Hunger>=2 &myframe$Hunger <3 )
bighunger
verybighunger <- subset(myframe,myframe$Hun
If I'm reading this correctly, you want to add a column to your
dataframe with a name corresponding to the value in the Hunger column.
myframe <- data.frame (ID=c("Ernie", "Ernie", "Ernie", "Bert",
"Bert","Bert", "Duck"), Hunger=c(1,1,1,2,2,1,3) )
myframe$Hungertype <- c("none", "bighunger", "ver
The randomForest function generates an error whenever
I supply it with a formula using the function, I() to inhibit interpretation.
When I do so, I always get an error like this one:
Error in unique(c("AsIs", oldClass(x))) : object 'Age' not found
Is this because of:
1. a restriction for t
Something like this might help you get started.
Simulation <-
c(10403, NA, NA, NA, NA, 11178, NA, NA, NA, NA, 11521, NA, NA,
NA, NA, 11385, NA, NA, NA, NA, 10102, NA, NA, NA, NA, 10544.013,
10339.925, 9912.695, 9928.198, 9932.112, 9008.05, 9437.174, 10406.784,
10832.123, 11095.868, 10955.0
I am developing an interactive scatterplot so that when the user rolls over
a data point, a label is displayed. However, I would also like to add edges
between certain data points.
I am successful at developing the interactive scatterplot using several
libraries, including grid, gridSVG, lattice,
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