hello,
I'm confused what you guys are talking about.
i just want to set ideal threshold values for my RFM scores which can be
done using Quantiles but i don't want to use quantiles because my data is
not normally distributed so it will lead to wrong ranges of breaks. to fix
this problem I'm looking
> On Oct 21, 2017, at 4:35 AM, Morkus via R-help wrote:
>
> Hello All,
>
> Although running Java from R used to work, for some mysterious reason, it's
> stopped.
>
> Today when I tried to load a basic JDBC driver (or the sample .jinit()) code,
> I got:
>
> - JavaVM: requested Java version (
> On Oct 22, 2017, at 5:26 PM, Sorkin, John wrote:
>
> David,
> predict.glm and se.fit were exactly what I was looking for.
The default 'se' delivered for a listed contrast is not for that particular
level per se, but rather for the difference between that level and the
non-listed factor leve
I suggest asking a Mac-OS-specific question like this on the r-sig-mac mailing
list. A common problem is attempting to access a 64-bit implementation of Java
from a 32-bit version of R, or vice versa, but you may want to include the
output of sessionInfo() and a reproducible example (both input
David,
predict.glm and se.fit were exactly what I was looking for.
Many thanks!
John
John David Sorkin M.D., Ph.D.
Professor of Medicine
Chief, Biostatistics and Informatics
University of Maryland School of Medicine Division of Gerontology and Geriatric
Medicine
Baltimore VA Medical Center
1
> On Oct 22, 2017, at 5:01 PM, Sorkin, John wrote:
>
> David,
> Again you have my thanks!.
> You are correct. What I want is not technically a contrast. What I want is
> the estimate for "regional" and its SE.
There needs to be a reference value for the contrast. Contrasts are
differences. I
David,
Again you have my thanks!.
You are correct. What I want is not technically a contrast. What I want is the
estimate for "regional" and its SE. I don't mind if I get these on the log
scale; I can get the anti-log. Can you suggest how I can get the point
estimate and its SE for "regional
> On Oct 22, 2017, at 3:56 PM, Sorkin, John wrote:
>
> David,
> Thank you for responding to my post.
>
> Please consider the following output (typeregional is a factor having two
> levels, "regional" vs. "general"):
> Call:
> glm(formula = events ~ type, family = poisson(link = log), data = da
David,
Thank you for responding to my post.
Please consider the following output (typeregional is a factor having two
levels, "regional" vs. "general"):
Call:
glm(formula = events ~ type, family = poisson(link = log), data = data,
offset = log(SS))
Deviance Residuals:
Min 1Q M
On 22 October 2017 at 17:56, Jacques Ropers wrote:
>
> Hi all,
>
> I can't fathom why the accented "é" in the following ggplot2 graph makes
> R hangs when using tikzdevice, whereas it works using simple pdf device.
>
[...]
I just tried your code and my R doesn't hang but it does give an TeX-erro
> On Oct 22, 2017, at 6:04 AM, Sorkin, John wrote:
>
> I have a model (run with glm) that has a factor, type. Type has two levels,
> "general" and "regional". I am trying to get estimates (and SEs) for the
> model with type="general" and type ="regional" using fit.contrast
?fit.contrast
No d
Hello,
After the plot just do
abline(v = median(A))
As for how to plot points, see, well, ?points().
Hope this helps,
Rui Barradas
Em 22-10-2017 16:33, varin sacha via R-help escreveu:
Dear R-experts,
Here below is my code,
I would like to add a vertical line on my plot, showing the median
Dear R-experts,
Here below is my code,
I would like to add a vertical line on my plot, showing the median and I would
like to place some values on this graph as well, i.e. 4.3 and -8.4. How can I
do ?
Many thanks for your reply.
A=c(1,2.3,4,3.5,4.3,2.5,6.3,-0.1,-1.5,3.7,-2.3,-3.5,5.4,3.2, -1
Hey all,
Does anyone know how we can get train set and test set for each fold of 5 fold
cross validation in Caret package? Imagine if I want to do cross validation by
random forest method, I do the following in Caret:
set.seed(12)
train_control <- trainControl(method="cv", number=5,savePredicti
Hi all,
I can't fathom why the accented "é" in the following ggplot2 graph makes
R hangs when using tikzdevice, whereas it works using simple pdf device.
##
library(tikzDevice)
library(ggplot2)
options(tikzDefaultEngine = "luatex")
tikzLualatexPackages =c(
"\\usepackage{tikz}\n",
"
I have a model (run with glm) that has a factor, type. Type has two levels,
"general" and "regional". I am trying to get estimates (and SEs) for the model
with type="general" and type ="regional" using fit.contrast but I can't get the
syntax of the coefficients to use in fit.contrast correct. I
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