Hi
You could try to ask your question on Stackexchange, maybe somebody will answer
it. This list is dedicated to helping with R code not to teaching statistics
(and you did not express any direct question about the code).
Anyway, you should complain about your statistics department.
Cheers
Pet
Dear Vito,
Thank you for your reply. I tried to contact the statistics departement
numerous times, but did not receive any reply. That is why I started to look on
the internet for help.
Yours sincerely,
Jay
Verstuurd vanaf mijn iPhone
> Op 26 jun. 2017 om 22:05 heeft Vito Michele Rosario Mug
hi Jay,
Consult a local statistician. Statistics is not you think is (namely
simple computations, R and probably plotting..).
regards,
vito
Jay Zola ha scritto:
Hello,
I am medical student, writing a meta-analysis on complication and
reoperation rates after the five most common treat
Hi Brian,
Your underlying dataset for the ROC curve only has 4 unique values for
specificity, even though there are 23 elements in the vector, hence the step
function nature of the first plot.
The default smoothing in the smooth() function is "binormal". You might try one
of the other smoothin
Hello,
I am medical student, writing a meta-analysis on complication and reoperation
rates after the five most common treatments of distal radius fractures. I have
been busy with the statistics for months by my self, but find it quite hard
since our classes were very basic. Now I want to compa
Hi Marc,
I tried to attache the png file of the plot, but the mailing list blocked
it!
"For the attached two png files (test_roc.png & test_roc_smooth.png)
1. Using 'plot' function:
plot(c(1,0),c(0,1), type='l', lty=3, xlim=c(1.01,-0.01),
ylim=c(-0.01,1.01), xaxs='i', yaxs='i', ylab='', xlab='
> On Jun 26, 2017, at 11:40 AM, Brian Smith wrote:
>
> Hi,
>
> I was trying to draw some ROC curves (prediction of case/control status),
> but seem to be getting a somewhat jagged plot. Can I do something that
> would 'smooth' it somewhat? Most roc curves seem to have many incremental
> changes
Hi,
I was trying to draw some ROC curves (prediction of case/control status),
but seem to be getting a somewhat jagged plot. Can I do something that
would 'smooth' it somewhat? Most roc curves seem to have many incremental
changes (in x and y directions), but my plot only has 4 or 5 steps even
tho
Op 26 jun. 2017 om 15:22 heeft Jay Zola
mailto:jayjay.1...@hotmail.nl>> het volgende geschreven:
What is the best way to change my R code to be able to compare the pooled
proportions(complication and reoperation rates) with the Chi square method?
Just adding an adjustment to the links because t
Dear all,
apologies for interrupting your important work.
The new R package MittagLeffleR is now available on CRAN. It computes the
two types of Mittag-Leffler distributions, i.e. provides probability
density, distribution function, quantile function and random variate
generation for the Mittag-L
> On Jun 26, 2017, at 7:52 AM, Eva Wanek wrote:
>
> Hi all,
>
> I am using the clm function from the ordinal package to fit a cumulative
> logit model. If I run the regression without formatting my dependent
> variable (which is a factor), it works fine, however I need to change the
> order of
Dear R users,
my search for a possibility to convert a generated model into VHDL to program
an FPGA has still no solution.
The problem:
caret -> training -> model -> model.rds -> model.xml (PMML) --?--> VHDL-Code
--?--> FPGA
The (simplified) task:
A photo detector with 16 channels is measuring
Thanks a lot for this. I never realized that my yahoo mail does not send plain
text. So this is the code I have
require("rgls")
degreeToRadian<-function(degree){
return (0.01745329252*degree)
}
turnPolarToX<-function(Amplitude,Coordinate){
return (Amplitude*cos(degreeToRadian(Coordinate
What is the best way to change my R code to be able to compare the pooled
proportions(complication and reoperation rates) with the Chi square method?
Verstuurd vanaf mijn iPhone
> Op 24 jun. 2017 om 14:18 heeft Michael Dewey het
> volgende geschreven:
>
> Note though that this has been put on
Hi all,
I am using the clm function from the ordinal package to fit a cumulative
logit model. If I run the regression without formatting my dependent
variable (which is a factor), it works fine, however I need to change the
order of the factors to be able to interpret the estimates. I have tried
d
Will do, thanks!
Viechtbauer Wolfgang (SP)
于2017年6月26日
周一03:39写道：
> I would suggest to post this to the (recently created) R-sig-meta-analysis
> mailing list. See:
>
> https://stat.ethz.ch/mailman/listinfo/r-sig-meta-analysis
>
> Best,
> Wolfgang
>
> >-Original Message-
> >From: R-help [m
Hi Bhaskar,
You can put all sorts of stuff into a text file simply by using the
"sink" command:
sink("bm.txt")
cat("\n")
B9<-"B"
cat(B9,"\n",sep="")
for(i in 1:9) cat("C")
cat("\n")
print(df)
sink()
What you intend to do with a file like this is beyond me.
Jim
On Mon, Jun 26, 20
I would suggest to post this to the (recently created) R-sig-meta-analysis
mailing list. See:
https://stat.ethz.ch/mailman/listinfo/r-sig-meta-analysis
Best,
Wolfgang
>-Original Message-
>From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of Naike Wang
>Sent: Monday, June 26,
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