I would like to extract the names, modes [numeric/factor] and levels
of variables needed in a data frame supplied as newdata= argument to
predict.glm()
Here is a small example illustrating my troubles; what I want from
(both of) the glm objects is the vector c("x","f","Y") and an
indication that f
Hello.
I'm trying to install bioconductor software on my ubuntu linux computer system.
I've installed already the latest R version but when trying to install any
semiconductor package, I can't. After write the command on R, it says that I
have to upload my R to the new version but I have already
Hi,
I posted this on StackOverflow also but did not get a response so I thought
that I would also try luck here. The post is at:
https://stackoverflow.com/questions/49120060/ggplot2-display-blocks-of-nested-split-violins
Basically, I have the following test example:
--cut-and-paste-from-here-on
I did explore tryCatch but wasn't successful.
However, I did just try your solution, William, and it worked!
I just had to modify this line in my function:
p <- ((svyciprop(~grp, grp1, family=quasibinomial))[1])
to
p <- withWarnings((svyciprop(~grp, grp1, family=quasibinomial))[1])
Then I cou
tryCatch() is good for catching errors but not so good for warnings, as
it does not let you resume evaluating the expression that emitted
the warning. withCallingHandlers(), with its companion invokeRestart(),
lets you collect the warnings while letting the evaluation run to
completion.
Bill Dunl
Hi William,
Thanks, I'll give that a shot. I tried using withCallingHandlers without
success but II admit I'm not familiar with it and may have used it wrong.
I'll report back.
Jen
On Tue, Mar 6, 2018, 5:42 PM William Dunlap wrote:
> You can capture warnings by using withCallingHandlers. H
1. I did not attempt to sort through your voluminous code. But I suspect
you are trying to reinvent wheels.
2. I don't understand this:
"I've failed to find a solution after much searching of various R related
forums."
A web search on "error handling in R" **immediately** brought up ?tryCatch,
w
You can capture warnings by using withCallingHandlers. Here is an example,
its help file has more information.
dataList <- list(
A = data.frame(y=c(TRUE,TRUE,TRUE,FALSE,FALSE), x=1:5),
B = data.frame(y=c(TRUE,TRUE,FALSE,TRUE,FALSE), x=1:5),
C = data.frame(y=c(FALSE,FALSE,TRUE,TRUE,TRUE)
Hi, I am trying to automate the creation of tables for some simply
analyses. There are lots and lots of tables, thus the creation of a
user-defined function to make and output them to excel.
My problem is that some of the analyses have convergence issues, which I
want captured and included in the
Hi Faiz,
Just to add to the confusion:
library(prettyR)
describe(iris)
You can specify which summary measures you want in the "num.desc" argument.
Jim
On Tue, Mar 6, 2018 at 11:03 PM, faiz rasool wrote:
> Dear list, I have the following how-to-do it in R, questions.
>
> Suppose I have ten inde
Please look at the microplot package,
install.packages("microplot") ## it will bring in lots of other packages.
Specifically look at the demo
demo("tablesPlusGraphicColumn", package="microplot")
The last item in that demo is an MS Word table with the text of the
question, some numerical informa
Hello,
You can use function apply() to do what you want without needing to type
the same 10 times. Here is a reproducible example.
set.seed(2234)# Make the results reproducible
# Make up some data
dv <- rnorm(100)
iv <- replicate(10, rnorm(100))
apply(iv, 2, cor, dv)
Now suppose you hav
There is the directory that the compressed file gets downloaded (Temp), and
there is another directory where the the extracted files are "installed"
("library"). You can read all about this in the "R Administration and
Installation Manual" that comes with R.
The message about the download direct
Your quickest way to learn about R is to use the manual pages that are included
with your installation. Typing the command ?cor produces a page with the
following information:
x a numeric vector, *matrix* or *data frame*.
y NULL (default) or a vector, *matrix* or *data frame* with co
Hi
For first question, maybe I am completely wrong but
cor(swiss[,-1], swiss[,1])
should give you what you want in one step.
Second question
Without an example it is hard to say but maybe aggregate is the way forward.
> aggregate(iris[,1:4], list(iris$Species), function (x) c(mean=mean(x),
>
Dear list, I have the following how-to-do it in R, questions.
Suppose I have ten independent variables, and one dependent variable.
I want to find the Pearson correlation of all the IVs with the DV, but
not the correlation between the IVs.
What I know so far, about R, that I have to type the cor
Hi
If you installed through install.packages you could specify lib
see help page
lib
character vector giving the library directories where to install the packages.
Recycled as needed. If missing, defaults to the first element of .libPaths().
But I believe you hardly need to do it. You probably
Hi, When installing packages is there any preferable path.
In my case I got this message in R consol:The downloaded binary packages are in
C: ~\ Temp \ RtmpQLTD5e \ downloaded_packages
this is a temporary files that I delete every time.
Is it possible to install packages in a specefic fold
> On Mar 5, 2018, at 9:07 PM,
> wrote:
>
> It works if you use as.Date. But this defeates the purpose for the yearmon
> notion...
>
> require(raster)
> require(rts)
> require(stringr)
> r <- raster(ncol=100, nrow=100)
> values(r) <- runif(ncell(r))
> stack(r)->s
> r->rs
> for(i in 1:23){
> r
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