On 27.05.2022 17:29, Arne Henningsen wrote:
Dear all (cc Marek = maintainer of the stargazer package)
We use do.call() to automatically create many LaTeX tables with
stargazer but after upgrading to R 4.2.0, this no longer works. I
illustrate this with a simple reproducible example:
R>
> I'm using Vince Goulet's modified version of emacs 26.2 (build 1,
> x86_64-w64-mingw32) of 2019-04-13 with ESS, on Windows 10. I use Sweave
> and LaTeX, so I have my R code in .Rnw files. When I execute my first
> line of R code, an R buffer opens of course. I prefer it to be below my
> Rnw
I'm using Vince Goulet's modified version of emacs 26.2 (build 1,
x86_64-w64-mingw32) of 2019-04-13 with ESS, on Windows 10. I use Sweave
and LaTeX, so I have my R code in .Rnw files. When I execute my first
line of R code, an R buffer opens of course. I prefer it to be below my
Rnw buffer.
I think people are going to need more details here.
1 where does GeneBook come from if not CRAN?
2 what is the app you are hoping to deploy, is it part of GeneBook?
3 what exactly do you mean by not showing?
On 27/05/2022 07:29, ABHIRUP MOITRA wrote:
I want to deploy a shiny app where I have
I want to deploy a shiny app where I have to use the package 'GeneBook'
which is not available in CRAN. So the app is not showing after deployment.
Thanks and regards
Abhirup Moitra
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__
R-help@r-project.org
Hello,
I think the function find_x_from_profile below does what you want.
I have used the data set in the first example of ?readARFF, the built-in
and all-present data set iris.
The function returns a one line data.frame whose column names are "x"
and "y". Pass the y-axis value in argument
I am sorry for that.
I used
library(farff)
library(mlr3learners)
library(mlr3filters)
library(mlr3extralearners)
library(mlr3)
library(DALEX)
library(DALEXtra)
data = readARFF("ant.arff")
index= sample(1:nrow(data), 0.7*nrow(data))
train= data[index,]
test= data[-index,]
task =
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