On Wed, 28 Jun 2023 08:54:14 +0530
Venky Vulpine wrote:
> [image: image.png]
Please copy and paste the error text from the command line window. For
historical reasons, you need to use Ctrl+Insert in order to copy text
from it and Shift+Insert in order to paste text into it.
It seems that the as
On Wed, 28 Jun 2023 13:02:41 +0530
Venky Vulpine wrote:
> C:\rtools42\x86_64-w64-mingw32.static.posix\bin/ld.exe: skipping
> incompatible
> c:/rtools42/x86_64-w64-mingw32.static.posix/bin/../lib/gcc/x86_64-w64-mingw32.static.posix/10.4.0/../../../libmingw32.a
> when searching for -lmingw32
This
Hello,
I want to plot the following kind of data (percentage of respondents from a
survey) that varies by Income into many small *line* graphs in a panel of
graphs. I want to omit "No Answer" categories. I want to see how each one
of the categories (percentages), "None", " Equity", etc. varies by
Hi
You probably can use any package including base R for such plots.
1. Posting in HTML scrambles your date so they are barely readable.
2. Use dput(head(yourdata, 20)) and copy the output to your mail to show how
your data look like. Although it seems to be not readable, R will consumes
it freel
Hi Anupam,
Haven't heard from you in a long time. Perhaps you want something like this:
at_df<-read.table(text=
"Income MF MF_None MF_Equity MF_Debt MF_Hybrid Bank_None Bank_Current
Bank_Savings Bank_NA
$10 1 3.05 29.76 31.18 36.0 46.54 24.75 25.4 3.307
$25 2 2.29 28.79 32.64 36.27 54.01 24.4 1
Hello,
I'm trying to demonstrate the behaviour of my R package and how line
directives change that behaviour. So I've got an R chunk like this:
<>=
{
#line 1 "file1.R"
fun <- function() {
pkg::fun()
}
#line 1 "file2.R"
fun()
}
@
but when it is rendered, the line directives
After doing "make clean".
I entered the "make all recommended MULTI=32" and got the following error:
make all recommended MULTI=32
make[1]: 'MkRules' is up to date.
make --no-print-directory -C front-ends Rpwd
make -C ../../include -f Makefile.win version
make Rpwd.exe
gcc -std=gnu99 -m32 -I../../
After running " pacman -S mingw-w64-i686-gcc", it installed 15 packages.
Then I ran the " make all recommended MULTI=32" command. But it still shows
the same issue.
It will be great if somewhere I get a 32bit installer for newer R versions.
But it seems it is discontinued.
Anyway, thanks @Ivan Kryl
On 28/06/2023 1:39 a.m., Iris Simmons wrote:
Hello,
I'm trying to demonstrate the behaviour of my R package and how line
directives change that behaviour. So I've got an R chunk like this:
<>=
{
#line 1 "file1.R"
fun <- function() {
pkg::fun()
}
#line 1 "file2.R"
fun(
В Wed, 28 Jun 2023 13:25:21 +0530
Venky Vulpine пишет:
> After running " pacman -S mingw-w64-i686-gcc", it installed 15
> packages. Then I ran the " make all recommended MULTI=32" command.
> But it still shows the same issue.
Here's what I've been able to find out.
In addition to mingw-w64-i686
I have code like this:
data <- read.csv("test1.csv", stringsAsFactors=FALSE, header=TRUE)
# Graph
myplot=ggplot(data, aes(fill=condition, y=value, x=condition)) +
geom_bar(position="dodge", stat="identity", width=0.5) +
scale_fill_manual(values=c("#7b3294", "#c2a5cf", "#a6dba0", "#0088
Dear list,
Building on the example from ?iconv:
x <- "fa\xE7ile"
xx <- iconv(x, "latin1", "UTF-8") # "façile"
and:
iconv(xx, "UTF-8", "ASCII", "Unicode")
# "faile"
This is the type of result I sometimes get from an R script that I cannot
reproduce here, because it depends on a terminal process
Hello, all
I'm trying to process the names of the variables in the US Census
database, that I'm retrieving with tidycensus. My end goal is to produce
nicely formatted tables with natural labels.
The labels as downloaded from the US Census look like this:
## Get the P1 table for block group 3 i
On Wed, 28 Jun 2023 20:29:23 +
Kevin Zembower via R-help wrote:
> I think my algorithm for the labels is:
> 1. keep everything from the last "!!" up to and including the last
> character
> 2. for everything remaining, replace each "!!.*:" group with a single
> space.
If you remove the initia
I probably misunderstand what you want to do, but for:
test <- c(" !!Total:",
" !!Total:!!Population of one race:",
" !!Total:!!Population of one race:!!White alone",
" !!Total:!!Population of one race:!!Black or African American alone",
" !!Total:!!Population of one race:!!American Indian and Alas
Sorry, not cc'ed to the list.
-- Forwarded message -
From: Bert Gunter
Date: Wed, Jun 28, 2023 at 4:18 PM
Subject: Re: [R] Processing a hierarchical string name
To: Ivan Krylov
Cc: Kevin Zembower via R-help
I probably misunderstand what you want to do, but for:
test <- c(" !!T
Dear R-Support Team:
I am fully aware that you are all extremely busy and forward this request
as brief and clear as possible:
Thank you for the comprehensive Documentation for R-4.3.1 (very helpful)
A limitation seems to have emerged, using SuSE SP15.4 (kernel:
5.14.21-150400.22) on an I
Hiya!
You can do this by specifying sub="c99" instead of "Unicode":
```R
x <- "fa\xE7ile"
xx <- iconv(x, "latin1", "UTF-8")
iconv(xx, "UTF-8", "ASCII", "c99")
```
produces:
```
> x <- "fa\xE7ile"
> xx <- iconv(x, "latin1", "UTF-8")
> iconv(xx, "UTF-8", "ASCII", "c99")
[1] "fa\\u00e7ile"
>
```
Thanks, Pikal and Jim. Yes, it has been a long time Jim. I hope you have
been well.
Pikal, thanks. Your solution may be close to what I want. I did not know
that I was posting in HTML. I just copied the data from Excel and posted in
the email in Gmail. The data is still in Excel, because I have no
On Wed, 28 Jun 2023 16:55:33 +0500
Jannie Pretorius wrote:
> ./configure: line 24446: ${}: bad substitution
> ## Export LD_LIBRARY_PATH or equivalent.
> if eval "test -z \"\*${*${Rshlibpath_var}*}*\""; then
> eval "${Rshlibpath_var}=\"${R_LD_LIBRARY_PATH}\""
> else
Hi Anamaria
Thanks for the data.
See in line.
> -Original Message-
> From: R-help On Behalf Of Ana Marija
> Sent: Wednesday, June 28, 2023 6:00 PM
> To: r-help
> Subject: [R] horizontal grouped stacked plots and removing space between
> bars
>
> I have code like this:
>
> data <
Hi Anupam
Using Jim's data
library(reshape2)
at_long <- melt(at_df)
at_long$innum <- as.numeric(as.factor(at_long$Income))
ggplot(at_long, aes(x=innum, y=value)) + geom_path() + facet_wrap(~variable,
ncol=1)
is probably close to what you want.
You need to fiddle with labels, facets variable n
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