To me, as a biologist recycled to biostats, I have always worked with Excel and
then SPSS and moving to R was difficult (and still is, since I am still
learning).
Being a self-taught person, I learn R looking for examples in Google, which
many times takes me to Rwiki or other. I sometimes post
Dearl list,
can anyone point me to a function or library that can create a graph similar to
the one in the following powerpoint presentation?
http://bmi.osu.edu/~khuang/IBGP705/BMI705-Lecture7.ppt
(pages 36-37)
In order to try to explain the graph, the way I see it in R terms is something
li
Dear list,
I am trying to work out how the improveProb() function works and how to
interpret the results, and I have a few questions. I would be grateful if
anyone could shed some light on these.
in the Net Reclassification Improvement section of the output, is the 2P column
the two-sided p-v
Hi R-users,
can anyone explain me how to play around with the options of the bootstrap
calibration curve obtained using the calibrate() function in Design package?
I am trying to colour the diagonal, i.e. the ideal curve, in red, and also hide
the bias-corrected curve.
Thanks,
Dave
Dear list, this might be a silly question, but I am a bit lost
I have bootstrapped the C-index of a logistic regression model, 500 times.
> results <- boot(data=data,statistic=cindex,R=500,formula = myformula)
When I plot the results I get a histogram of the bootstrapped where the Y axis
is
Dear list,
I have bootstrapped the C-index of a logistic regression model, 500 times.
> results <- boot(data=data,statistic=cindex,R=500,formula = myformula)
When I plot the results I get a histogram of the bootstrapped where the Y axis
is density, but it spans from 0 to about 25
> plot(res
Hi R-users!
I am trying to learn how to use the glmpath package. I have a dataframe like
this
> dim(data)
[1] 605 109
and selected the following
> response <- data[,1]
> features<-as.matrix(data[,3:109])
> mymodel <- glmpath(features,response, family = binomial)
Error in if (lambda <= min.lam
sum( data[ , 1 ] == "GG", na.rm = TRUE )
Regards
2009/3/30 David A.G
Dear list,
I am trying to evaluate how many elements in a vector equal a certain value.
The vectors are the columns of a data.frame, read in using read.table():
> dim(data)
[1] 2600 ¨¢742
> data[
Dear list,
I am trying to evaluate how many elements in a vector equal a certain value.
The vectors are the columns of a data.frame, read in using read.table():
> dim(data)
[1] 2600 742
> data[1:5,1:5]
SNP001 SNP002 SNP003 SNP004 SNP005
1 GG AA TT TT GG
2 GG AA
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