Hi,
I am fighting to get rid of the messages like:
During startup - Warning messages:
Setting LC_CTYPE failed, using "C"
Setting LC_COLLATE failed, using "C"
This is annoying, because when building a package using R CMD, This
message keeps cropping up.
Here my R:
Sys.getlocale()
[1] "C"
Hi,
I was trying to find a pattern ("ABHD14A") in a character string ('xgen' in
example below) using grepl. Note that the individual members may be
separated by a semi-colon.
The correct answer should return:
"ABHD-ACY1 ; ABHD14A" "ABHD14A ; YYY"
I have tried three approaches, but still seem a
I am currently working on a simulation, and I would like to see what happens
with various effect sizes. How would I test out different effect sizes for the
Fisher's exact test with my current code?
set.seed(23)
# p1<-response in controls
# p2<-response in treated
# Generating random
grep("(^| )ABHD14A( ;|$)",xgen, value = TRUE)
maybe.
On Mon, Jul 16, 2018 at 1:46 PM, Brian Smith wrote:
> Hi,
>
> I was trying to find a pattern ("ABHD14A") in a character string ('xgen' in
> example below) using grepl. Note that the individual members may be
> separated by a semi-colon.
>
>
Thanks to all for your replies. So far as I can see, there was
nothing wrong with my original approach, but I've decided to stuff all
the relevant definitions into a function (or functions), as this seems
to make "devtools::check()" happier.
-- Mike
On Fri, Jul 13, 2018 at 6:54 PM, Jeff
Hi, I'm using scale_y_continuous with sec.axis and it's doing what I need but I
don't understand how it picks which of the two series becomes the secondary.
Does anyone have any insight into this?
Thanks!
__
R-help@r-project.org mailing list -- To
Dear Friends,
I would like to ask for help.
I am plotting monthly data as seasonal by adding particular months but I am
getting an unexpected graph. What I want is why and what can be another
alternative?
Here is the data and R script
busoro <- read.csv("G:/Fredo/PAPER/Malaria climate
Dear Laura,
I came across the anipaths package
(https://cran.r-project.org/web/packages/anipaths/vignettes/anipaths.html)
It might be useful for you.
Best regards,
ir. Thierry Onkelinx
Statisticus / Statistician
Vlaamse Overheid / Government of Flanders
INSTITUUT VOOR NATUUR- EN BOSONDERZOEK
Hi Frederic,
You are asking for the sum of cases in the months September to
December for the years 2012 to 2017. I get a plot that shows that
from:
plot(busoro[,"X"],busoro[,"Sep"] + busoro[,"Oct"] + busoro [,"Nov"] +
busoro[,"Dec"],type="b",ylab="Malaria Cases",xlab="Year")
What sort of plot
Hello,
Maybe the following is not the recommended way but it works
(and I believe makes sense).
f <- function(){}
formals(f) <- formals(fc)
body(f) <- body(fc)
f
#function (x)
#{
# x <- x + 1
# pi * x
#}
f(1)
#[1] 6.283185
Hope this helps,
Rui Barradas
Às 03:25 de 16-07-2018, Benjamin
Good morning.
I am looking for an R package and possibly at tutorial using Logistic
Regression as the classifier in a ML algorithm.
I located this URL for use with R pkg "e1071" and the SVM classifier which
seems splendid, however, I cannot locate a comparable reference similarly for
Logistic
Hello,
Please repost in plain text, NO HTML formating.
Also, you are missing an open parenthesis right after while:
while( sum(abs(Sb-D-Sc-t(Pi))>1E-5)){
Hope this helps,
Rui Barradas
Às 14:25 de 15-07-2018, Atanasio Alberto Tembe Tembe escreveu:
Hello!
Is there anyone who can help me to
Dear Jim,
I am asking the sum of malaria cases from Sep to Dec. I am also getting the
plot but which has false values.
After going through them, I found that the script is giving the right
results.
Thanks alot.
Frederic Ntirenganya
Nyanza District,
Data Mnager.
Mobile:(+250)788757619
Email:
Thanks Rui and Duncan, this is most helpful.
On 07/16/2018 06:58 AM, Duncan Murdoch wrote:
On 16/07/2018 5:31 AM, Rui Barradas wrote:
Hello,
Maybe the following is not the recommended way but it works
(and I believe makes sense).
f <- function(){}
formals(f) <- formals(fc)
body(f) <-
On 16/07/2018 5:31 AM, Rui Barradas wrote:
Hello,
Maybe the following is not the recommended way but it works
(and I believe makes sense).
f <- function(){}
formals(f) <- formals(fc)
body(f) <- body(fc)
That's not quite right: it might lose the environment of fc, if it
isn't the
I am trying to create a hierarchical changepoint detection model in JAGS,
estimating group difference in changepoint based on individual changepoints
in scores for an outcome variable (fictional in this case). I can run a
non-hierarchical version of this same analysis, based on a single set of
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