R is a language specially made to do many things with vectors and matrices and
arrays with any reasonable number of dimensions and also has a host of
functions that do things like make diagonal matrices, calculate determinants
and multiply them in several ways, invert them, get eigenvalues and
Hi,
from what I can tell, unicode-related issues (in several programming
languages) are often specifically related to the MS Windows operating
system rather than to R (though that does not imply it is irrelevant
here).
You may wish to have a look at:
https://blog.r-project.org/2020/05/02/utf-8-s
Can one back transform confidence intervals: yes, just like one back transforms
other values.
Should one back transform confidence intervals: probably not. Even if you
applied the log transformation because it fixed problems in the model
residuals, it is possible (likely?) that the reason that t
On Thu, 23 Jun 2022 12:26:23 +0200
Helmut Schütz wrote:
> txt <- "x ≥ y, x \u2265 y; a ≈ b, a \u2248 b"
> Encoding(txt) <- "UTF-8"
There shouldn't be a need to change the encoding. If you're creating a
Unicode literal, R should already choose UTF-8 for the resulting
string. Either way, R automat
Print(a\u2248b")
gives approximately equal sign.
-Original Message-
From: R-help On Behalf Of Ebert,Timothy Aaron
Sent: Thursday, June 23, 2022 6:48 AM
To: Helmut Schütz ; r-help@r-project.org
Subject: Re: [R] UTF-8 to the console
[External Email]
Wikipedia indicates that there are mul
Hallo all
Various suggestion were made but with this simple task I immediatelly
thought about reshape2 melt function.
x <- "Time_stampP1A0B0D P190-90D
'Jun-10 10:34' -0.000208 -0.000195
'Jun-10 10:51' -0.000228 -0.000188
'Jun-10 11:02' -0.000234 -0.000204
'Jun-10 11:17' -0.00022
Hello all!
I am having two isues with the sjplot package, When dealing with my data I
have the following issue:
Original data:
https://docs.google.com/spreadsheets/d/1hoOfh78Ev03amXYwNxlWpwbdr1GcDtL_QBiErwxcJds/edit?usp=sharing
library(ggplot2)
library(geepack)
library(sjPlot)
dat2<-read.delim("
Dear R users,
Emily Tupaj and I recently released a new package on CRAN:
{CIPerm}: Computationally-Efficient Confidence Intervals
for Mean Shift from Permutation Methods
https://cran.r-project.org/package=CIPerm
Problem:
It is straightforward to carry out a permutation or randomization test of
H
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