On 26 January 2021 at 18:59, Dirk Eddelbuettel via ESS-help wrote:
|
| On 26 January 2021 at 22:07, Stephen Berman via ESS-help wrote:
| | > I. Both machines report in *Messages*
| | >Package cl is deprecated
| |
| | The NEWS file in Emacs 27 says:
| |
| | ** The 'cl' package is now
Hello,
Going back to our earlier conversation about ensuring the accessibility of Mini
Webinars, I'm able to share MiR's Accessibility Workbook (attached).
This is of particular interest to blind R users because the RStudio IDE is not
an option for us due to its inaccessibility.
Please let me
I tried the following change, that adds quotes if the argument does
not include ">".
Index: front-ends/rcmdfn.c
===
--- front-ends/rcmdfn.c (revision 79883)
+++ front-ends/rcmdfn.c (working copy)
@@ -173,9 +173,13 @@
For completeness:
I decided to stay with aspell. simply because that (60.6 from 2014) is what I
had been using,.
I downloaded hombrew and had it install the newer aspell 60.8 (2019).
Just four lines and now M-x ispell works.
/bin/bash -c "$(curl -fsSL
On 27/01/2021 3:40 p.m., Bill Dunlap wrote:
I believe the problem is from svn 77925 in gnuwin/front-ends/rcmdfn.c,
which was committed a few days after 3.6.3 was released. Rterm used
to put double quotes around a command line argument only if it
contained a space, now it double quotes all
Is this what you are after? You need to store a vector in the list:
>
> # Data
> PIB.hab<-c(12000,34000,25000,43000,12500,32400,76320,45890,76345,90565,76580,45670,23450,34560,65430,65435,56755,87655,90755,45675)
>
Hi varin,
How about this:
Mbv<-data.frame(MSE=rep(NA,1000),
biais=rep(NA,1000),variance=rep(NA,1000))
for(i in 1 :1000) {
n<-dim(Dataset)[1]
p<-0.667
sam<-sample(1 :n,floor(p*n),replace=FALSE)
Training <-Dataset [sam,]
Testing <- Dataset [-sam,]
fit2<-lm(PIB.hab~ISQ.2018)
I believe the problem is from svn 77925 in gnuwin/front-ends/rcmdfn.c,
which was committed a few days after 3.6.3 was released. Rterm used
to put double quotes around a command line argument only if it
contained a space, now it double quotes all arguments. It sees shell
constructs like "1>" and
Dear R-experts,
Here below my R code working but I would like to get 3 values not only 1. The
value I get is, according to my R code, the variance value. My goal is to get 3
values : the bias value, the variance value and the MSE value. How to solve my
problem ?
Many thanks.
On 27/01/2021 3:17 p.m., Duncan Murdoch wrote:
On 27/01/2021 3:38 a.m., Martin Maechler wrote:
Martin Maechler
on Tue, 26 Jan 2021 12:37:58 +0100 writes:
Marcel Baumgartner
on Tue, 26 Jan 2021 08:55:48 +0100 writes:
>> Dear all, my colleague posted our issue on
On 27/01/2021 3:38 a.m., Martin Maechler wrote:
Martin Maechler
on Tue, 26 Jan 2021 12:37:58 +0100 writes:
Marcel Baumgartner
on Tue, 26 Jan 2021 08:55:48 +0100 writes:
>> Dear all, my colleague posted our issue on stackoverflow:
>> Calling R script from Python does not
I note that there's a possibility of floating point errors.
If all values have one digit after the decimal point, you could replace:
qexp (p, rate) with round (qexp (p, rate), 1).
However, sometimes uniroot will fail, due to problems with input.
On Thu, Jan 28, 2021 at 5:02 AM Denis Francisci
I mistyped, 3.6.3 omits "1>", "log.txt" (not arguments.txt"), etc. My
test was run in C:\tmp and used -e instead of -f and bin/R.exe instead
of bin/x64/R.exe, using the following python script:
import subprocess
cmd363 = " ".join(["C:/R/R-3.6.3/bin/R.exe", "--vanilla", "--quiet",
#
clustMixType no es una función, es un paquete de R que implementa el algoritmo
k-prototypes en R. Este es un algoritmo similar la k-means pero válido para
tipos de datos mixtos.
El paquete incluye no solo métodos para la determinación de clústeres sino
también para el cálculo de índices de
Note that in R-3.6.3 commandArgs() does not include the arguments
intended to be processed by the shell, "1>", "arguments.txt", etc.,
but in R-4.0.3 it does include them. It is as though an R shell()
command was replaced by a system() command so cmd.exe didn't get a
chance to process the command
Hola amigos.
Soy algo nuevo en este tema de R, pero estoy aprendiendo a empujones porque el
tiempo apremia. Necesito segmentar 165000 personas con los siguientes datos,
los cuales los tengo en excel en un archivo llamado Data, el cual tiene la
siguiente forma.
Nombre
G�nero EdadR_Edad
Thanks for the reprex. I think this is one way to do what you want:
dt$flag2 <- 0 + with(dt,Item == "DESK" & check %in% code2)
> dt$flag2 <- 0 + with(dt,Item == "DESK" & check %in% code2)
> dt
name Item check flag2
1A DESK NORF 0
2B RANGE GARRA 0
3C CLOCK PALM 0
Hi all, I have a sample of data as shown below,
dt <-read.table(text="name Item check
A DESK NORF
B RANGE GARRA
C CLOCKPALM
D DESK RR
E ALARMDESPRF
H DESK RF
K DESK CORR
K WARF CORR
G NONE RF ",header=TRUE, fill=T)
I want create another
Many thanks, Jeff. Very clear
El mié, 27 de ene. de 2021 a la(s) 14:29, Jeff Newmiller (
jdnew...@dcn.davis.ca.us) escribió:
> These are not errors, they are informational, and the Posting Guide points
> out that details of how to use contributed packages such as tidyverse are
> off topic (too
Gracias Marcelino, tomo nota para la próxima vez que me haga falta.
Manuel
El mié, 27 ene 2021 a las 8:07, Marcelino de la Cruz Rot (<
marcelino.delac...@urjc.es>) escribió:
> Perdón,
>
> preds <- colnames(probs)[apply(probs, 1, which.max)]
>
> El 27/01/2021 a las 7:57, Marcelino de la Cruz Rot
These are not errors, they are informational, and the Posting Guide points out
that details of how to use contributed packages such as tidyverse are off topic
(too many of them for one list).
If you want to use the versions of the functions that tidyverse is overriding,
specify the desired
Why when loading tidyverse shows the following:
-- Conflicts --
tidyverse_conflicts() --
x dplyr::filter() masks stats::filter()
x dplyr::lag()masks stats::lag()
--
Saludos / Regards
Carlos A. Gonzalez
Mobile +598 94 234 653
cag...@gmail.com
You can mix R and Python code in the same R Markdown vignette. See:
https://bookdown.org/yihui/rmarkdown/language-engines.html
```{r "RcodeChunk"}
# R code
```
```{python "PythonCodeChunk"}
# Python code
```
I did this a couple of years ago. I haven't used Python since.
However, this
An iterative process works well. Python to get the data desired and then
Rscript script.r from a command line. My process involves building a
script in R using, using Rstudio, Pycharm, VS Code, Kate, or some other
editor. Then using data input built with Python as input to Rscript. The R
Wonderful!
This is exactly what I need!
Thank you very much!!
Denis
Il giorno mer 27 gen 2021 alle ore 10:58 Abby Spurdle
ha scritto:
> u <- runif (410)
> u <- (u - min (u) ) / diff (range (u) )
>
> constrained.sample <- function (rate)
> { plim <- pexp (c (9.6, 11.6), rate)
> p <-
Thank you @LucyNjoki!!! Everything runs ok now.
El mar, 26 de ene. de 2021 a la(s) 16:51, John Kane (jrkrid...@gmail.com)
escribió:
> A couple of Window solutions
>
>
Thank you for the clarification.
On Wed, Jan 27, 2021 at 3:32 PM Jeff Newmiller wrote:
>
> Your piecewise-linear function Y(X) is not invertible as a whole so there is
> no general solution per algebra.
>
> You keep saying predict can do this, but as I pointed out and Rui ventured to
> expand
Your piecewise-linear function Y(X) is not invertible as a whole so there is no
general solution per algebra.
You keep saying predict can do this, but as I pointed out and Rui ventured to
expand the math on, predict cannot calculate an inverse even if you swap the
inputs. And as Abby pointed
Regarding cl:
On top of replacing
(require 'cl)
with
(require 'cl-lib)
I also needed to make a number of changes to the usage of various cl
functions. Emacs would complain about unknown functions once I did (require
'cl-lib). Basically all of the cl functions were changed from XX to cl-XX
for
That is right, I removed the points above 39, and also got 16.60964,
which looks good to me. Splines is good and I will use it for
non-linear interpolation. For now I used linear conversion to keep it
simple but looks to me it is getting out of hand. I simply need to do
the following
I got 16.60964.
Your curve is not linear up to the 39th point.
And as your points appear to be deterministic and nonlinear, splines
are likely to be easier to use.
Here's a base-only solution (if you don't like my kubik suggestion):
g <- splinefun (X, Y)
f <- function (x) g (x) - 6
uniroot (f, c
u <- runif (410)
u <- (u - min (u) ) / diff (range (u) )
constrained.sample <- function (rate)
{ plim <- pexp (c (9.6, 11.6), rate)
p <- plim [1] + diff (plim) * u
qexp (p, rate)
}
diff.sum <- function (rate)
sum (constrained.sample (rate) ) - 4200
rate <- uniroot (diff.sum, c (1,
Am Wed, 27 Jan 2021 09:03:15 +0100
schrieb Denis Francisci :
> Hi,
> I would like to generate random numbers in R with some constraints:
> - my vector of numbers must contain 410 values;
> - min value must be 9.6 and max value must be 11.6;
> - sum of vector's values must be 4200.
> Is there a
Dear Jeff,
I am not sure if I understood the procedure properly but it looks like it works:
```
Y <-c(1.301030, 1.602060, 1.903090, 2.204120, 2.505150, 2.806180,
3.107210, 3.408240, 3.709270,
4.010300, 4.311330, 4.612360, 4.913390, 5.214420, 5.515450,
5.816480, 6.117510, 6.418540,
On Tue, 26 Jan 2021 18:59:27 -0600 Dirk Eddelbuettel via ESS-help
wrote:
> On 26 January 2021 at 22:07, Stephen Berman via ESS-help wrote:
> | > I. Both machines report in *Messages*
> | >Package cl is deprecated
> |
> | The NEWS file in Emacs 27 says:
> |
> | ** The 'cl' package is now
> Martin Maechler
> on Tue, 26 Jan 2021 12:37:58 +0100 writes:
> Marcel Baumgartner
> on Tue, 26 Jan 2021 08:55:48 +0100 writes:
>> Dear all, my colleague posted our issue on stackoverflow:
>> Calling R script from Python does not save log file in
>>
Hi,
I would like to generate random numbers in R with some constraints:
- my vector of numbers must contain 410 values;
- min value must be 9.6 and max value must be 11.6;
- sum of vector's values must be 4200.
Is there a way to do this in R?
And is it possible to generate this series in such a
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