- Am 8. Nov 2016 um 16:22 schrieb Johannes Ranke johannes.ra...@jrwb.de:
> Hallo Bernd,
>
> das heisst die gleiche Fehlermeldung bei "configure"?
>
> Gruß,
>
> Johannes
>
> Am Dienstag, 8. November 2016, 15:45:15 schrieb Lentes, Bernd:
>> ---
rtz
Ok. I subscribed to that ML and asked there. But if someone here has a further
idea
i would appreciate it.
Thanks.
Bernd
Helmholtz Zentrum Muenchen
Deutsches Forschungszentrum fuer Gesundheit und Umwelt (GmbH)
Ingolstaedter Landstr. 1
85764 Neuherberg
www.helmholtz-muenchen.de
Auf
- Am 8. Nov 2016 um 7:53 schrieb Göran Broström goran.brost...@umu.se:
> libX11-dev?
>
> Göran
Hi,
is already installed:
i A libx11-dev - Client-seitige Bibliothek für X11 (Entwick
(ubuntu system)
Bernd
Helmholtz Zentrum Muenchen
Deutsches Forschun
oblem is that i don't know which headers or libraries are missing, and
when i search with aptitude in the Ubuntu repositories i find a ton of them and
don't know which one to install.
Can anyone help me ?
Thanks.
Bernd
--
Bernd Lentes
Systemadministration
institute of develop
Hi,
from what I know there is a current GSOC 2016 project proposal.
(but not accepted yet)
https://github.com/rstats-gsoc/gsoc2016/wiki
https://github.com/rstats-gsoc/gsoc2016/wiki/DeepLearnR-tensorFlow-Object-system-for-R
Is that of interest?
Best,
Bernd
On 01.04.2016 18:32, Axel Urbiz
e to make it
try more complicated expressions, to make the example in the PDF work
as described?
TIA,
Bernd
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ion
res <- metaprop(4:1, c(10, 20, 30, 40), comb.fixed=FALSE, comb.random=TRUE)
## Object res contains a lot of interesting information
## Open ?metaprop and read the section on "values"
str(res)
## Obtaining the random-effects weights
res$w.random
## Calculatin
Hello,
I have a problem trying to compare model-fit between linear and
non-linear mixed models. I am using the mmSAR-package from Guilhaumon
(Version 1.0) to fit different models (power, exponential, lomolino,
weibull etc.) to my data. Besides that I am as well fitting a linear
model to the da
Dear JM,
creating a data frame did indeed solve my problem. Thank you so much.
Best wishes
Bernd
Von: zelfortin [mailto:jmichel.for...@gmail.com]
Gesendet: Freitag, 2. August 2013 22:10
An: r-help-arch...@googlegroups.com
Cc: r-help@r-project.org; Puschner, Bernd
Betreff: Re: [R
ppreciated.
Thanks.
Bernd
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Am 07.06.2013 13:17, schrieb Michael Dewey:
At 19:34 06/06/2013, Bernd Weiss wrote:
Dear all,
I am struggling to add a prediction interval to a forest plot that was
created with forest.meta(), package "meta".
I checked the source of forest.meta() and realized that it is heavily
es to find out where the random effects estimate is
actually plotted in order to add prediction intervals.
Any help is much appreciated!
Bernd
R version 3.0.1 Patched (2013-05-28 r62825)
Platform: x86_64-w64-mingw32/x64 (64-bit)
locale:
[1] LC_COLLATE=German_Germany.1252 LC_CTYPE=German_Ge
Hi Arnold,
I like the "Data and Story" library a lot
and have already used it in my own courses:
http://lib.stat.cmu.edu/DASL/
BW
Bernd
On Tue, 12 Feb 2013 10:51:04 -0800 (PST)
David Arnold wrote:
> All,
>
> If you have any good links for sites that contain data sets t
"col" and "border" do only affect the fitted values
("diamonds"), i.e. the FEM/REM estimators (see ?forest.rma: "col:
character string specifying the name of a color to use for _the fitted_
values (‘"darkgray"’ by default).")
Furthermore, I had a
o me). I would do it
as follows:
set.seed(8)
df <- data.frame(y = rnorm(100), x = factor(rep(1:4)))
boxplot(y ~ x, data = df)
regline <- lm(y ~ as.numeric(x), data = df)
abline(regline)
HTH,
Bernd
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Am 31.03.2011 21:06, schrieb array chip:
Ok then this code didn't do what I wanted. I want "not including
'arg' before '.symptom'", not individual letters of "arg", but rather
as a word.
Bill Dunlap suggested using invert=T, it works for single 1
condition, but not for 2 conditions here: not inc
Am 31.03.2011 19:31, schrieb array chip:
Hi, I am stuck on this: how to specify a match pattern that means not
to include "abc"?
I tried:
grep("^(abc)", "hello", value=T) should return "hello".
> grep("[^(abc
;a1gpar"]<- NA
dat0[dat0$a1pias==-999.,"a1pias"]<- NA
dat0[dat0$a1devt==-999.,"a1devt"]<- NA
Given that all your variables share the same code for missing values,
e.g. -99, you could do the following:
df <- data.frame(a = c(1, 2, -99),
,] "a" "b" "c"
[2,] "a" "c" "b"
[3,] "b" "a" "c"
[4,] "b" "c" "a"
[5,] "c" "a" "b"
[6,] "c" "b" "a"
HTH,
Hi,
Someone recently told me that R is not working well with other programs in
a clustered environment. I believe we are using gensoft and working in a
redhat environment. What was also mentioned was that there are problems when
running multiple R instance at the same time.
Personally I haven't
e, only the output. Is there a way
to geneate anything analogue to the *.Rout file? if possible only with
command line, without the sink() command?
Best, Bernd
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PLEASE
written as 1.234e+05 in \texttt{R}.
<>= a=1.2345e+05 b=-6.9e-01 @ \end{frame}
should be
\begin{frame}[fragile]
\frametitle{Numbers}
...
see beamerguide p. 24
<http://www.tug.org/teTeX/tetex-texmfdist/doc/latex/beamer/beameruserguide.pdf>
Bernd
___
guess you are looking for "Using Graphs Instead of Tables in Political
Science" by Kastellec/Leoni <http://tables2graphs.com/doku.php>.
HTH,
Bernd
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PLEASE do
ot; "100421.csv"
> "100422.csv" "100423.csv" "100426.csv" "100427.csv" "100428.csv"
> "100429.csv" "100430.csv" "100503.csv" "100504.csv" "100505.csv"
> [16] "100506.csv"
-64.25, -41, -118, 7.75,
> 45.300, 0, 4.750003, -1.5, -0.04900013)), .Names =
> c("DESCRIPTION",
> "POSITION", "prix"), row.names = c(NA, -17L), class = "data.frame")
>
> I want to remove all the dates in $DESCRIPTION. I was t
ing steps as 1) and their
respective bootstrapped means are printed:
weights mean.boot
1
2
...
10
How can I do this?
Any suggestions most welcome.
Many thanks!
Bernd
___
advance. bernd
Acrobeles <-c(65.1,0.0,0.0,0.0,0.0,0.0)
Acrobeloides <-c(0.0,9.8,76.7,51.1,93.9,43.9)
Alaimus<-c(0.0,4.9,0.0,0.0,0.0,6.3)
Aphelenchoides <-c(126.5,29.3,76.7,134.1,176.7,87.9)
x<-data.frame(Acrobeles,Acrobeloides,Alaimus,Aphelenchoides)
predictor
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Kaushik Krishnan wrote:
> Is there any way to make R stop for the user to enter values when
> running in batch mode either by changing the way I invoke scan() or
> readLines() or by using any other function?
At least on linux this works:
be...@t40:~/
rtant?
An example would actually be the most important thing, an example tells
more than thousand words.
Thanks in advance,
Bernd Kreuss
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some obstacles. There's also a roxygen
devel list, where you could go with questions.
I got some S4 examples from one of the recent roxygen talks, If you want
them I could forward those.
Bernd
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n.values")
# do it manually with w, simple linear predictor with intercept -m$rho
p2 <- X %*% t(w) - m$rho
# puuuh, lucky
max(abs(p1 - p2))
# [1] 6.439294e-15
Bernd
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u detach from it.
Be sure to test your scripts on your local system before with easy (and
faster examples). For packages: The same requirements apply to the R on
server as for your local system, you simply need the same packages there.
Bernd
__
R-he
Patrick Connolly wrote:
On Thu, 13-Aug-2009 at 05:48PM -0700, caltechneurostudy wrote:
|>
|> Does anybody know if it's possible to have R send an email or execute an
|> additional line of code in case an error is generated from a running script?
|> I am running R on a cluster and would like to
use as.factor (or import
yout data in a better way)
- are you sure you use the formula interface for svm from e1071. If you
check the help page, you will see that it clearly supports factors.
Otherwise paste str(mydata) and your call to svm here.
Be
N
Hi Noah,
read up on the "contrasts" and the "model.matrix" functions.
Although if you use the kernlab package for SVMs, factors get treated in
this way by default, you just need to use the formula interface.
Bernd
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LSE)
combn(5, 4, function (x) expand.grid(groups[x]), simplify = FALSE)
and this transforms it nicely into a single matrix
y <- combn(5, 2, function (x) as.matrix(expand.grid(groups[x])),
simplify = FALSE)
Reduce(rbind, y)
Bernd
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f it. If something
like this already exists it would be nice to put a link to it directly
on the JGR homepage, I couldn't find anything.
Bernd
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PLEASE do read the posti
Bernd Kreuss wrote:
> I would like to add a few points to this list [...]
I would even make the changes on my own (i probably would already have
done it) and supply patches if i only could find any hint on how to
build JGR from sources. (where to place the source files, what command
to start
or "run all", this is the only menu item without
shortcut. would be a good choice as some other widely used
editor/shell combinations for other languages have similar functionality
on that key too (SciTE, IDLE, etc.), it seems to be some kind of
standard too.
Bernd
__
sorry for the eventual double posting, but i got a strange error from a
versatel(???) server about not enough quota when replying to the message
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/flaws, mostly missing/wrong keyboard shortcuts) and JGR would
make a huge step from "very good" to "excellent"
Bernd
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ing/wrong keyboard shortcuts) and JGR would
make a huge step from "very good" to "excellent"
Bernd
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Steve Lianoglou wrote:
> Is it possible to build up your formula as a string, and then convert
> to formula w/ as.formula?
what about simply using it this way instead:
svm(label ~ ., data=mydata[,-c(22,23,25,31)])
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ange inverse manner, where should i have searched to find the
answer myself? Is there a document like "R for programmers" which
completely leaves out all the basic stuff and concentrates on the
obvious differences to most common mainstream languages only?
TIA
Bernd
_
, meta1$seTE, sm="RR")
Bernd
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and provide commented, minimal, self-contained, reproducible code.
ONKELINX, Thierry schrieb:
Dear Bernd,
Omitting the NA values from the dataset will work.
ggplot(aes(x = x, color = g), data = na.omit(mydf)) + geom_density()
Dear Thierry,
thanks for your reply! Of course, regarding my little toy example
na.omit() perfectly works. However, my real data
lve my problem but to no avail.
Thanks for your help,
Bernd
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he 'forest'-function (package 'meta',
<http://cran.at.r-project.org/web/packages/meta/meta.pdf>) should be
able to do what you want. I guess you could be interested in the 'byvar'
argument.
Bernd
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model 0.4686 [0.3515; 0.5857] 7.8415 < 0.0001
I'm wondering whether there might be anyone knowing how to conduct a
meta-analysis based on correlations in R?
Feel free to ask if you have any further questions.
Bernd
Hedges, Larry V., und Ingram Olkin, 1985: Statistical Methods for
markle...@verizon.net schrieb:
Thanks Petr because I sent Bernd a solution offline but yours is MUCH
NICER. it's not worth showing you because it was pretty ugly.
Dear Mark & Petr,
Thank your very much! I like both solutions. Petr's is the more obvious
one but Mark's s
6 3 F
What is the best (most efficient/vectorized/avoiding loops) approach to
obtain the following data frame?
id author
1 "A, B, C"
2 "D, E"
3 "F"
Thanks for your help,
Bernd
> version
_
platform i386-
x27;C','A','C'))
y <- x[x!='C']
y
[1] A B A
Levels: A B C
factor(y)
[1] A B A
Levels: A B
another solution might be
> x <- factor(c('A','B','C','A','C'))
> y <- x[x!='C']
> y
I need to calculate a hierarchical clustering using the spearman metric. Is
there such functionality within R, and if so can you give me an example on
how to use it?
Thanks,
Bernd
[[alternative HTML version deleted]]
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Dear all (Hadley, Thierry :-),
I was wondering how to force ggplot/qplot(... geom="histogram") to plot
proportions (or %) instead of counts/densities.
Thanks for your help,
Bernd
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estimates, but do not seem able to extract the
se's.
Anybody have a solution?
You need to extract the variance-covariance matrix:
library(lme4)
gm1 <- glmer(cbind(incidence, size - incidence) ~ period + (1 | herd),
family = binomial, data = cbpp))
sqrt(diag(vcov(gm1)))
HTH
hello Gavin,
yes, you might be right. I performed a comparison of a normal NMDS
(with metaMDS) and a
subsequent rotation with varimax. The rotation didn't seem to improve
significantly the
the alignment of the former ordination output.
Thanks for your hint & greetings.
Bernd
hello,
thanks a lot for your help.
@ Stephen: In my opinion the proscrutes rotation is more used to
compare the
alignment of different ordination methods. But maybe I'm wrong.
@ Bill: Thanks for the comprehensive description. That was the
information I was
looking for.
Greetings,
hello,
subsequently to a NMDS analysis (performed with metaMDS or isoMDS) is
it possible to
rotate the axis through a varimax-rotation?
Thanks in advance.
Bernd Panassiti
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hat makes me think this was to do with sizing the viewport.
|
|
| So please update to R-patched and try again.
That's it! Thanks for your help.
Bernd
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Bernd Weiss schrieb:
| library(lattice)
|
| ## works as expected
| xyplot(1~1, key = list(text = list(c("Maenner"
|
| ## works as expected
| xyplot(1~1, key = list(text = list(c("Maenner"))), xlab = "M\344nner")
|
|
list(text = list(c("M\344nner"
Is this a bug?
TIA,
Bernd
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iD8DBQFISPo6Usbvfbd00+ERArJFAJsEvWq2Cai7chuOADadZHT2pnRJOgCfWLdx
3Hs3PnCzd6nuT
dear R-tists,
im an struggling with labeling ticks of the axis in a ggplot.
i would like to print the text associated with the ticks being ploted
with a 90 degree angle.
how can i possibly do this?
cheers.
bernd.
~
Bernd Ebersberger
Management Center
I don't want to create an
array for each column if possible.
Thanks for the kind support,
Bernd
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PLEASE do read t
workhorses not intended for the presentation of results.
Bernd
-Original Message-
From: hadley wickham [mailto:[EMAIL PROTECTED]
Sent: Thursday, February 07, 2008 8:10 PM
To: Engelmann, Bernd
Cc: r-help@r-project.org
Subject: Re: [R] consolidate legends in ggplot2
Hi Bernd,
>
?
Bernd
ScaleMy <- proto(ScaleColour, expr={
new <- function(., name=NULL, palette=1, type="qual", alpha=1,
variable) {
proto(., name=name, palette=palette, type=type,
.input=variable, .output=variable, .alpha=alpha)
}
colors <-
c('gre
end and plot ?
Thank you
Bernd Engelmann
[EMAIL PROTECTED]
phone: + 49-351-277-4545
fax: + 49-351-277-9-4545
AMD Saxony/AMD Saxony Limited Liability Company & Co. KG
M/S E23-TY
Wilschdorfer Landstr. 101
D-01109 Dresden
Germany
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skestin schrieb:
| I suppose it's very simple but I can't find the way to generate a
sequence of
| characters, e.g. from "a" to "z".
| Could you please help me with this?
?letters
letters
HTH,
B.
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done in R?
Thanks,
Bernd
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n sharpe(zz) : x is not a vector or univariate time series
In the case of two securities, I could easily do it by hand, but for say
100 or even 500, I am looking for an automated solution.
Many thanks in advance!
Bernd
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sage-
|From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On
|Behalf Of Bernd Jagla
|Sent: Friday, November 30, 2007 10:25 PM
|To: r-help@r-project.org
|Subject: [R] compare strings
|
|Sorry for the question, but I really cannot find the right search terms to
|find an answer..
|
|
|
|I have a data f
Just found out that I am actually dealing with factors:
> t3[1,5] == t3[1,3]
Error in Ops.factor(t3[1, 5], t3[1, 3]) : level sets of factors are
different
But the problem remains... how can I compare them?
Thanks,
Bernd
|-Original Message-
|From: [EMAIL PROTECTED] [mailto:[EM
Sorry for the question, but I really cannot find the right search terms to
find an answer..
I have a data frame with strings in some of the columns.
I want to know all the rows where the strings in both columns are equal.
How do I do this?
Thanks,
Bernd
[[alternative
amp;seq_region_left=1&seq_region_w
idth=10&vclick.x=20&vclick.y=131
The problem I have with these representations is that they are all about ONE
gene/region. I want to be able to see less information but for multiple
genes. I haven't seen this for any of the data bases.
Thanks for
Hi there,
I am looking for R-packages that can help me visualize properties on
nucleotide sequences. I want to display sequences in the 1-100K base range
as lines and plot features above and below those lines.
Any ideas would be welcome.
Thanks,
Bernd
Hi there,
I am looking for R-packages that can help me visualize properties on
nucleotide sequences. I want to display sequences in the 1-100K base range
as lines and plot features above and below those lines.
Any ideas would be welcome.
Thanks,
Bernd
[[alternative
Hi,
I would like to refer to a column in a data frame using a variable. How
would I do this?
Something like:
c1<-"column1"
dat${c1}
where names(dat) includes 'column1'
Thanks,
Bernd
[[alternati
My problem is that summary gives me a list with counts that is incomplete
and adds the "Others" category.
Is there a way to get a count for all levels?
Thanks,
Bernd
[[alternative HTML version deleted]]
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That is great, bitmap works.
Now I have the problem that the gray levels are too bright. I tried using
col="black" in the hist function, but that only fills the bars. The tick
marks etc are all in a fainting gray... Any idea on how to get those
darker???
Thanks again,
Bernd
|---
thing similar...
-B
|-Original Message-
|From: Martin Morgan [mailto:[EMAIL PROTECTED]
|Sent: Monday, October 29, 2007 12:35 PM
|To: Bernd Jagla
|Cc: r-help@r-project.org
|Subject: Re: [R] Qsub - unable to open connection to X11 display
|
|Hi Bernd,
|
|A little speculation / uninformed input
X11 is working everything works fine.
Is there a way to make this work without X11?
Or, how would I simulate an X11 environment (including the correct DISPLAY
variable) on a cluster node?
I appreciate any comments or suggestions.
Than
AM
|To: Bernd Jagla
|Cc: r-help@r-project.org
|Subject: Re: [R] ploting labels on barplot
|
|On 10/25/07, Bernd Jagla <[EMAIL PROTECTED]> wrote:
|> Again me.
|>
|>
|>
|> I want to plot the numbers on the bars of a barplot.
|
|This is usually a bad idea, as the size of the n
his the R(ight)-way?
Thanks,
Bernd
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and p
GREAT!!!
Thanks so much !!!
-B
|-Original Message-
|From: John Kane [mailto:[EMAIL PROTECTED]
|Sent: Thursday, October 25, 2007 1:45 PM
|To: Bernd Jagla; 'Henrique Dallazuanna'
|Cc: r-help@r-project.org
|Subject: Re: [R] data frame usage
|
|I think I also misunderstood. It s
just "echo" the
values for a specific class.
I hope you understand better what I mean
Thanks again,
Bernd
|-Original Message-
|From: Henrique Dallazuanna [mailto:[EMAIL PROTECTED]
|Sent: Thursday, October 25, 2007 1:34 PM
|To: Bernd Jagla
|Cc: r-help@r-project.org
|Subject: Re
Wow, that easy...
And how can get only the values for a specific class?
Like tapply(x$val, x$label, ?echo?)$class1
What should echo be?
Thanks,
B
|-Original Message-
|From: Henrique Dallazuanna [mailto:[EMAIL PROTECTED]
|Sent: Thursday, October 25, 2007 1:15 PM
|To: Bernd Jagla
|Cc: r
(x$val).
I want to calculate summary statistics for different classes.
How would I do this?
Thanks,
Bernd
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ary(meta)
data(Fleiss93)
meta1 <- metabin(event.e, n.e, event.c, n.c, data=Fleiss93, sm="RR",
meth="I")
meta1
## with new labels
plot(meta1, comb.f = TRUE, comb.r = TRUE, text.f = "New label FEM",
text.r = "New label REM")
##
Bernd Weiss schrieb:
> Dear all,
>
> is this a bug?
>
>
>> as.numeric(FALSE)
> [1] 0
>> library(Matrix)
> Loading required package: lattice
>> as.numeric(FALSE)
> Error in UseMethod("as.double") : no applicable method for "as.double&qu
Dear all,
is this a bug?
> as.numeric(FALSE)
[1] 0
> library(Matrix)
Loading required package: lattice
> as.numeric(FALSE)
Error in UseMethod("as.double") : no applicable method for "as.double"
>
Regards,
Bernd
> version
_
platform
ERRORLOG
Just wanted to import a bulk of data into R via BLOOMBERG.
And it crashed.
Is there any useful "something" like an ERRORLOG?
Checked the web but did not get useful information.
Cheers, Bernd
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),c(3,4),c(5,6))
colnames(x) <- rep("var",3)
colnames(x) <- paste(colnames(x),1:dim(x)[2],sep = "")
## Maybe, you want your own very simple function for renaming
## a data frame...
myRename <- function(df){
colnames(df) <- paste(c
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