0
0
7 0 1
3
8 1 1
0
9 0 0
0
10 0 1 2
Jeff Reichman
he matrix into two submatrices
>for weekdays and the other for weekends. So please suggest to me anyway that
>how I do this?
>
>On Wednesday, January 5, 2022, 11:10:34 AM GMT+5, Jeff Newmiller
> wrote:
>
> A lot of new R users fail to grasp what makes data frames more u
A lot of new R users fail to grasp what makes data frames more useful than
matrices, or use data frames without even realizing they are not using matrices.
This is important because there are more tools for manipulating data frames
than matrices. One tool is the split function... if you have a
Reading Excel files isn't a feature of base R (the topic here... read the
Posting Guide linked below) but the readxl contributed package can help with
that. The read_xlsx function has arguments to skip rows, limit the number of
rows read in, or specify regions to import such as B2:B2. Read the
Perhaps https://stat.ethz.ch/mailman/listinfo/r-sig-fedora ?
On December 31, 2021 9:38:25 AM PST, kap4lin wrote:
>Hi,
>
>Before I proceed with the error output, is this the right list for help on
>compiling R from source. If not, please point me in the right direction.
>
>The error itself is
The qsave/qread functions from the qs package are functionally interchangeable
with saveRDS/readRDS, but faster and create smaller files. A simple
if ( file.exists( "obj1.qs" ) ) {
obj1 <- qread( "onj1.qs" )
} else {
obj1 <- compute_obj1()
qsave( obj1, "obj1.qs" )
}
can be
This practice (saving and resuming from Rdata files) often ends badly this way.
Objects that are "shared" in memory get saved as separate data and may not
"fit" when re-loaded. This is why re-running from scratch should always be part
of your workflow. There are caching approaches that track
You still are not exhibiting signs of understanding Bert's response, and your
question is vague, particularly to the extent that it could be pertinent to the
R language (and therefore to the topic of this list). R itself just raises an
error condition that custom tryCatch or default handling
with the difference between vectors and
matrix-like objects and data frames.
On December 21, 2021 10:09:14 AM PST, Duncan Murdoch
wrote:
>On 21/12/2021 12:53 p.m., Duncan Murdoch wrote:
>> On 21/12/2021 12:29 p.m., Jeff Newmiller wrote:
>>> It is a very rational choice, not a
actually run significantly faster.
On December 21, 2021 9:28:52 AM PST, "Fox, John" wrote:
>Dear Jeff,
>
>On 2021-12-21, 11:59 AM, "R-help on behalf of Jeff Newmiller"
> wrote:
>
>Intuitive, perhaps, but noticably slower.
>
>I think that
a.m., Jeff Newmiller wrote:
>> Intuitive, perhaps, but noticably slower. And it doesn't work on tibbles by
>> design. Data frames are lists of columns.
>
>That's just one of the design flaws in tibbles, but not the worst one.
>
>Duncan Murdoch
>
>>
>> O
Intuitive, perhaps, but noticably slower. And it doesn't work on tibbles by
design. Data frames are lists of columns.
On December 21, 2021 8:38:35 AM PST, Duncan Murdoch
wrote:
>On 21/12/2021 11:31 a.m., Duncan Murdoch wrote:
>> On 21/12/2021 11:20 a.m., Stephen H. Dawson, DSL wrote:
>>>
or code chunk then I would hope
people would share it, but if possible also provide some equivalent base R code
to stay on topic.
On December 20, 2021 9:26:24 AM PST, Jeff Newmiller
wrote:
>What is wrong with
>
>as.data.frame(lapply( Data, sort, decreasing = TRUE ))
>
>?
>
What is wrong with
as.data.frame(lapply( Data, sort, decreasing = TRUE ))
?
On December 20, 2021 8:58:48 AM PST, "Stephen H. Dawson, DSL via R-help"
wrote:
>Hi,
>
>
>Running a simple syntax set to review entries in dataframe columns. Here
>is the working code.
>
>Data <-
This sounds like an OS feature, not an R feature... certainly not a portable R
feature.
On December 13, 2021 8:37:30 AM PST, Andy Jacobson via R-help
wrote:
>Has anyone ever considered what it would take to implement checkpointing in R,
>so that long-running processes could be interrupted and
Use one ampersand, not two.
And post plain text.
On December 12, 2021 8:30:11 PM PST, Kai Yang via R-help
wrote:
>Hi R team,I want to delete records from a data frame if Class = '1st' and
>Survived = 'No'. I wrote the code below, test <- subset(PD, Class != '1st' &&
>Survived != 'No')
>but
cfs is not a function. Don't put parentheses next to it. Use square brackets
for indexing.
On December 3, 2021 12:55:34 PM PST, Rich Shepard
wrote:
>I find solutions when the data_frame is grouped, but none when it's not.
>
>The data:
># A tibble: 813,693 × 9
>site_nbr year mon day
I think you need a reprex... I don't think your claim is correct as stated.
On December 2, 2021 1:00:01 PM PST, Ivan Krylov wrote:
>Sorry for sending an unfinished message!
>
>On Thu, 2 Dec 2021 23:57:11 +0300
>Ivan Krylov wrote:
>
>> Why can I forward missing i,j to built-in `[`
>
>Why can I
I think the fact that character is a built-in type rather than an S3 class has
something to do with it.
On December 2, 2021 11:31:47 AM PST, Bert Gunter wrote:
>... and probably a dumb one and almost certainly not of interest to
>most R users. But anyway...
>
>?"+" says:
>"The unary and binary
This
>package ‘rlang’ successfully unpacked and MD5 sums checked
>Warning in install.packages :
> cannot remove prior installation of package ‘rlang’
indicates that rlang didn't get re-installed. It is a warning because R seems
to think it could still be working, but it isn't verifying that
Avi: As I understand it, the definition regarding what is on-topic is not
targeted at tidyverse... it addresses the futility of trying to support the
thousands of problem domains represented by contributed packages in one mailing
list without drowning the subscribers in discussions about
Probably some kind of failure occurred during package updating and one or more
of the packages readxl depends on was removed but not successfully re-installed.
Run
install.packages( "lifecycle" )
and then
update.packages()
and try using your function again. If a similar error occurs,
I don't know anything about this package, but read.csv returns a data frame.
How you go about forming a matrix using that data frame depends what is in it.
If it is all numeric then as.matrix may be all you need.
Half of any R data analysis is data... and the details are almost always
crucial.
This "data_long" appears to be a mess you are not satisfied with, rather than
the "data" you started with or a model of what you want.
On November 28, 2021 9:06:54 AM PST, Philip Monk wrote:
>Thanks for your suggestions, Chris.
>
>I'm writing from Gmail's web client, and have checked the
First priority is to obtain a correct answer. Second priority is to document it
and write tests for it. Third priority is to optimize it. Sometimes it is
useful to keep intermediate values around to support supplemental calculations
ala "summary", that may or may not lead to using rm where you
Anyone could write a function named prob.def1, and it is not part of base R so
it is off-topic here and there is no way for people on this list to
definitively know the answer. As far as Google can tell me it is not from CRAN
either. OP should go talk to whoever wrote this code.
On November
This question is off-topic here (see the Posting Guide, you are asking about a
contributed package). Like walking down the street and asking this question,
someone might know about it, but most will be puzzled.
You should know that multicore is quite sensitive to which kinds of operations
you
/01/2016", "05/03/2017")
>as.Date(x, format = "%d/%m/%Y")
>
>
>which produces this output:
>
>
>> x <- c("28/10/2016", "19/11/2016", "31/12/2016", "16/01/2016",
>"05/03/2017")
>> as.
lcome. :)
>
>Thanks for your time,
>
>Philip
>
>Part-time PhD Student (Environmental Science)
>Lancaster University, UK.
>
>~
>
>I asked a question a few weeks ago and put together the answer I needed
>from the responses but didn't know how to say thanks on
Agreed... This Is The Way.
To interactively sit at the R console and type in commands without keeping
those commands in an editor and running them from scratch periodically to
insure that they achieve your goals is a only a recipe for mystery, not for
data analysis.
R is a tool for
I strongly recommend that you change your way of thinking when it comes to
ggplot: if your data are not yet in one data frame then your data are not yet
ready for plotting.
It is possible to specify separate data frames for different layers of the
plot, but this severely complicates building
/11/2021 2:45 p.m., Jeff Newmiller wrote:
>> This question isn't a "how to do package development" question... this is
>> about a specific package so you should send email to the package developer
>> identified by the maintainer() function.
>
>I think Arnaud i
This question isn't a "how to do package development" question... this is about
a specific package so you should send email to the package developer identified
by the maintainer() function.
I can't foresee this request finding a positive response from R Core, but email
seems the most correct
Bert
Ok I'll give that a shot too.
Jeff
-Original Message-
From: Bert Gunter
Sent: Monday, November 8, 2021 1:16 PM
To: reichm...@sbcglobal.net
Cc: R-help
Subject: Re: [R] Plotly
As Plotly for R is a product of private company, your query is off topic here
(though you may get
ty.plotly.com/c/graphing-libraries/r/9
>
>
>Bert Gunter
>
>"The trouble with having an open mind is that people keep coming along
>and sticking things into it."
>-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
>
>On Mon, No
line chart displaying launches by agency type, with highlighting
shared_launches %>%
plot_ly(x = ~launch_year, y = ~n, color = ~agency_type) %>%
add_lines() %>%
highlight()
Jeff
[[alternative HTML version deleted]]
__
R-help@r-
The topic here is R language, not operating system surgery. You probably
shouldn't hold your breath for a solution to this here.
That said, compiling and running without installing for access by the whole
system is always an option if you can fix the support libraries.
On November 7, 2021
In general, the search for symbols for a function Z in a package Y will span
only those namespaces that the package Y specifies. The search for symbols in a
function whose parent environment is the global environment will start there,
thereby opening the door to find masking versions of
You are using github packages. Post your question on the corresponding packege
Issues page on GitHub. Such questions are not related to the topic of the R
language (read the Posting Guide, which also indicates that this plain text
mailing list will strip formatting from your emails, so do send
IMO you are being a bit too literal. It is absolutely possible to load the file
into a dedicated environment and use the $ or [[]] extraction operator to
access a specific object in that environment.
?load
?new.env
Or, you can attach the file, copy to a new variable, and detach. (see examples
.
On November 4, 2021 5:30:22 PM PDT, Val wrote:
>Jeff,
>
>The date from y data file looks like as follow in the Linux environment,
>My_date
>2019-09-16
>2021-02-21
>2021-02-22
>2017-10-11
>2017-10-10
>2018-11-11
>2017-10-27
>2017-10-30
>2019-05-20
>
>On Thu,
You are claiming behavior that is not something R does, but is something Excel
does constantly.
Compare what your data file looks like using a text editor with what R has
imported. Absolutely do not use a spreadsheet program to do this.
On November 4, 2021 2:43:25 PM PDT, Val wrote:
>IHi All,
>(Maybe the R Studio free trial/usage is underpowered for my project?)
- R is a computer language, as well as a program for interpreting R source code.
- RStudio Desktop is an editor with "features" intended to make using R easy.
It cannot "do" anything without R being installed.
- R is
Data type in a CSV is always character until inferred otherwise... it is not
necessary nor even easier to manipulate files with Python if you are planning
to use R to manipulate the data further with R. Just use the
colClasses="character" argument for read.csv.
On November 3, 2021 9:47:03 AM
Sorry... untested code... use which... not where.
On November 1, 2021 10:29:13 AM PDT, Rich Shepard
wrote:
>On Mon, 1 Nov 2021, Jeff Newmiller wrote:
>
>> More explicitly... look at rows past the first row. If your csv has 300
>> rows and column 1 has something non-
More explicitly... look at rows past the first row. If your csv has 300 rows
and column 1 has something non-numeric in row 299 then the whole column gets
imported as character data. Try
cor_disc[[ 1 ]] |> as.numeric() |> is.na() |> where()
to find suspect rows. You may want to read about the
If you are looking for expertise in answering questions about NumPy, the pool
of experts will be smaller here than in a forum whose topic is NumPy.
I don't know what "BIO" means... if it alludes to biostatistics then there is a
whole separate Bioconductor project that specializes in applying R
AFAIK NaN originated in the floating point standard IEEE754-1985 as a range of
bit patterns that have all 1 bits in the exponent, and the convention to
convert such bit patterns to the string "NaN" is an obvious way to handle
output of such patterns, regardless of language. Pasting a % symbol
It is difficult to do "truly random" number generation with computers, but
fortunately number sequences that appear random but progress consistently from
an initial seed value (?set.seed) are actually much more useful for analysis
purposes than true randomness is.
On October 28, 2021 11:39:07
This is dangerously close to off topic, or at least it could be fuel for
divisive argument rather than informed discussion (most readers here might be
short on details of NumPy and long on details regarding R).
Have you used a search engine? Google found
Docker containers are built from some starting point defined using docker
conventions. They have nothing to do with how you may have installed or
configured R on your computer, other than perhaps what you learned but forgot
about all that stuff. So the answer depends on what docker image you
Sounds right, though the OP appears to be assuming that the code used to
generate the data objects in the file will also be there, and we need to be
more definitive about that: it is not. Depending how the code was constructed,
there may be useful information in the functions that were stored
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
One of the items mentioned in the Posting Guide is that homework questions are
not okay... we don't know what your instructor is looking for, and
I use check.names=FALSE more often than not, and I almost never end up changing
them "anyway". Back-ticks as quotes are very effective at allowing unusual
column names to be used in R code. (The only exception I have to this is when
programatically building formulas the eval step gets quite
You did not say which function you used to import the csv file, but it looks
like you probably used read.csv without setting the check.names argument to
FALSE.
Whether you change that out not, once you have reshaped the data, you can use a
format specifier with as.Date to extract a date. (See
That depends what was in the active environment when you created that formula.
You would probably benefit from reading
https://adv-r.hadley.nz/environments.html about now, though you are about to
enter a complex interaction between functions, formulas and environments. A
rational option is
Andrew
Thank you so much. That was an easy fix.
I you have some time I’d like some more info on the close function close(con)
Jeff
From: Andrew Simmons
Sent: Sunday, October 17, 2021 3:35 PM
To: reichm...@sbcglobal.net
Cc: R-help Mailing List
Subject: Re: [R] here Package
ng it in other locations still no luck so I'm
wondering if I can even use it in this application
Jeff
[[alternative HTML version deleted]]
__
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
https://stat.ethz.ch/mailman/li
I don't see a "second one". Looks like you forgot the subset function call?
On October 15, 2021 6:23:56 PM PDT, Steven Yen wrote:
>The following "subset command works. I was hoping the second would as
>well but it does not.
>
>My definition of exclude is rejected.
>
>Help please? Thanks.
>
> >
I don't think it is avoidable... ifelse cannot figure out which elements will
exist in the second and third arguments until they are evaluated, so it cannot
make use of the TRUE/FALSE information until both possible output vectors have
been evaluated, which is a performance hit and yields
lse. If
>> "somewhere else" isn't first in .libPaths(), R won't see the new installs.
>>
>> Duncan Murdoch
>>
>> On 24/09/2021 2:04 p.m., Kevin Thorpe wrote:
>>> I did try installing xml2 and it appeared to complete. I will ask him to
>>> tr
>Also, I checked my options and I have my email set to plain text...
The warning inserted by the mailing list at the bottom of your message below
> [[alternative HTML version deleted]]
indicates that you may still need to understand your mail client better.
On October 6, 2021 10:30:49 AM
Since the sqlite package is contributed, it is NOT related to "core R", and is
in fact technically off-topic on this list.
FWIW all SQL implementations work better with indexes, but AFAIK the R data
frame support does nothing with indexes. This may be related to your question,
or not. I am not
This is a microcosm of why installing "all CRAN" packages is a bad idea. Now
extend this to the other 5% of 16000+ packages that will have unclear
requirements, and when you have all those installed try to update just one of
the packages because one of your users has learned of a bug in that
No it shouldn't work. unique returns zero or more results so == with a constant
will be a logical vector zero or more elements long, which is inappropriate for
&&. Use the any function perhaps.
On September 30, 2021 8:51:02 AM PDT, Luigi Marongiu
wrote:
>Yes, but the && should work within
This is called hijacking a thread. Bad etiquette.
You need to pay attention to column types and NA values. Only do regular
expression manipulations on character data, and NA is never something you can
do string operations on.
On September 29, 2021 7:24:41 PM PDT, giuseppacef...@gmail.com
Do read the Posting Guide ... this is the wrong venue for detailed discussions
of contributed packages.
For this topic I suggest [1], though you may want to make sure you have updated
all of your packages with no errors and that this behavior still occurs before
going there. You should also
Seems like they should install the xml2 package before proceeding to load
whatever (tidyverse).
This kind of "dependency missing" problem tends to be a recurring problem
particularly on Windows but in general when some deeply-embedded dependency
fails to load or is removed in preparation for
The subset function
subset( new, select = -ID )
uses non-standard evaluation... it "knows" that when you write the language
symbol ID it may match to one of the column names in new, and the `-` in the
select argument will be noticed before R tries to change the sign of a variable
ID in your
I could, but this question is off topic on this mailing list. Read the Posting
Guide before you post again. Help for ggplot2 can be found in many places...
start your search here
https://cran.r-project.org/web/packages/ggplot2/index.html.
(Hint: your data should be a factor.)
On September 20,
This question is not clear. What do you mean by solution file? You can find
documentation for individual datasets by typing a question mark (?) followed by
the the name of the dataset.
Sample datasets are included in packages. There are several packages included
with R that have some datasets.
need cacheing for this
>work but I don't know
>about data cacheing packages. Might be one of those things where my learning
>time might outweigh
>time saved but I lost a fair bit of time by being stupid with this so perhaps
>not.
>
>- Original Message -
>> From: "
I avoid knitr (Rmarkdown uses knitr) caching like the plague. If I want
caching, I do it myself (with or without the aid of one of a data caching
package).
On September 19, 2021 10:28:49 AM PDT, "Berry, Charles"
wrote:
>Chris,
>
>
>> On Sep 18, 2021, at 12:26 PM, Chris Evans wrote:
>>
>>
trouble with having an open mind is that people keep coming along and
sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
On Sat, Sep 18, 2021 at 9:00 AM Jeff Reichman wrote:
>
> Anyone see what I might be doing wrong? Corrupted rds f
Anyone see what I might be doing wrong? Corrupted rds file maybe. The error
would suggest I'm using an older version of R except I'm running both the
latest RStudio and R versions.
# Load in the tidyverse, raster, and sf packages
library(tidyverse)
library(raster)
library(sf)
# Read the climate
Re your objection that "the user has to suspect that some values were not
included" applies equally to your proposed warn option. There are a lot of ways
to introduce NAs... in real projects all analysts should be suspecting this
problem.
On September 17, 2021 3:01:35 PM PDT, Leonard Mada via
Agree with Bert per your stated problem, but want to point out that you don't
have control over the locale in which your users will be trying to display the
encoded strings in your data. I am no expert in this, but you will need to
become one in order to understand your own problem and any
Really?
str( df[ , grep(".*_a*.", names(df)) ] )
On September 15, 2021 7:53:17 AM PDT, Luigi Marongiu
wrote:
>Hello,
>I have a dataframe and I would like to browse the information of its
>structure only for a subset of columns (since there are hundreds of
>them).
>For instance, I tried with
=temp)
>> mydf
>alpha beta..Hello. beta.1 beta.1.1 beta..bye.
>1 1Hello 1 1.1bye
>2 2Hello 1 1.1bye
>3 3Hello 1 1.1bye
>4 4Hello 1 1.1bye
>
>But a tibble handl
: chr "Joyce Pearl Javier"
> $ : chr "Ayza Padilla"
> $ : num 9
> $ : chr "Walfredson Calderon"
> $ : chr "Stephanie Anne Militante"
> $ : chr "Rennua Oquilan"
> $ : num 10
> $ : chr "Neil John Nery"
> $ : chr "Ma
An atomic column of data by design has exactly one mode, so if _any_ values are
non-numeric then the entire column will be non-numeric. What does
str(VPN_Sheet1$HVA)
tell you? It is likely either a factor or character data.
On September 14, 2021 7:01:53 PM PDT, Gregg Powell via R-help
wrote:
That is about as fast as it can be done. However you may be able to avoid doing
it at all if you fold V2 into a matrix instead. Did you mean to use matrix
multiplication in your calculation of M3?
On September 13, 2021 11:48:48 PM PDT, nevil amos wrote:
>Hi is there a faster way to "extract"
be
necessary to answer it if you change your approach.
On September 6, 2021 7:29:34 AM PDT, Ivan Calandra wrote:
>Thank you Jeff for your answer.
>
>I do use rmarkdown but I do not write papers completely with it. I do
>output a report in HTML but I also like to export the plots as PDF so
I use an rmarkdown file to generate consistent output figures and tables for
html or Word. I just use Rnw files directly if I am generating LaTeX. I do not
use R files for building output... and I never use ggsave. So you might
consider altering your approach to bypass the question entirely.
6.34 9.2 2020-11-01 01:15:00
>9 2020-11-01 01:30 PDT 20300 16.37 9.2 2020-11-01 01:30:00
>10 2020-11-01 01:30 PST 20100 16.31 9.2 2020-11-01 01:30:00
>11 2020-11-01 01:45 PDT 20300 16.35 9.2 2020-11-01 01:45:00
>12 2020-11-01 01:45 PST 20100 16.29 9.2 2020-11-01 0
Quite probably, but not via this mailing list. Do read the Posting Guide
mentioned in the footer. http://cran.nexr.com/web/views/Econometrics.html may
suggest options.
On September 5, 2021 3:43:21 AM PDT, Franklin Feukam via R-help
wrote:
>Please can I have the package of Multivariate Tobit
Literal translation...
aggregate( mydf$value
, mydf[ , "year_month", drop=FALSE ]
, function( x ) if ( all( is.na( x ) ) ) NA else sum( x, na.rm = TRUE )
)
On September 4, 2021 9:06:57 AM PDT, Stefano Sofia
wrote:
>Dear R-list users,
>I encountered a silly problem
On Fri, 3 Sep 2021, Rich Shepard wrote:
On Thu, 2 Sep 2021, Jeff Newmiller wrote:
Regardless of whether you use the lower-level split function, or the
higher-level aggregate function, or the tidyverse group_by function, the
key is learning how to create the column that is the same for all
Regardless of whether you use the lower-level split function, or the
higher-level aggregate function, or the tidyverse group_by function, the key is
learning how to create the column that is the same for all records
corresponding to the time interval of interest.
If you convert the sampdate to
mean(cfs, na.rm = TRUE)
, Count = n()
)
)
On August 31, 2021 2:11:05 PM PDT, Rich Shepard
wrote:
>On Sun, 29 Aug 2021, Jeff Newmiller wrote:
>
>> The general idea is to create a "grouping" column with repeated values for
>&
IMO assuming periodicity is a bad practice for this. Missing timestamps happen
too, and there is no reason to build a broken analysis process.
On August 29, 2021 7:09:01 PM PDT, Richard O'Keefe wrote:
>Why would you need a package for this?
>> samples.per.day <- 12*24
>
>That's 12 5-minute
You may find something useful on handling timestamp data here:
https://jdnewmil.github.io/
On August 29, 2021 9:23:31 AM PDT, Jeff Newmiller
wrote:
>The general idea is to create a "grouping" column with repeated values for
>each day, and then to use aggregate to compute your
The general idea is to create a "grouping" column with repeated values for each
day, and then to use aggregate to compute your combined results. The dplyr
package's group_by/summarise functions can also do this, and there are also
proponents of the data.table package which is high performance
Maybe you will find that coord_cartesian( ylim=c(-30,30) ) works better since
it doesn't filter out data before rendering.
On August 28, 2021 6:45:11 PM PDT, p...@philipsmith.ca wrote:
>I am preparing a time series plot using the ggplot function. It includes
>an area plot outlined at its edges
You messed up the dput somehow... but I think this works:
m <- t(structure(c(1, 57, 59, 271, 279, 59, 179, 279, 278, 359, 52,
118, 178, 239, 334), .Dim = c(5L, 3L)))
brk <- c( 0, 60, 120, 180, 240, 300 )
mc <- matrix( findInterval( m, brk ), ncol = ncol(m) )
m
mc
DBI <- apply( mc, 1,
Yes. This kind of issue is covered in any decent undergraduate course in
numerical methods... it is not specific to R. It is also related to FAQ 7.31.
https://en.m.wikipedia.org/wiki/Root-finding_algorithms
Well, I don't think language is as much of a problem as your failure to compose
your messages using plain text format. Your examples are all mushed together
since the mailing list removes formatting. See what we see below for example.
On August 20, 2021 12:27:50 PM PDT, Silvano Cesar da Costa
Agreed. Need the rest of a complete example.
On August 19, 2021 11:27:59 PM PDT, PIKAL Petr wrote:
>Hallo
>
>I am confused, maybe others know what do you want but could you be more
>specific?
>
>Let say you have such data
>set.seed(123)
>Var.1 = rep(LETTERS[1:4], 10)
>Var.2 = sample(1:40,
When you provide an actual minimal reproducible example we will be able to help
you. 2000 lines is excessive to demonstrate the problem.
Based on your description, I think you are doing some computations before you
set seed, and your results depend partly on the values computed prior to the
Perhaps igraph or DiagrammeR?
On August 16, 2021 9:55:50 AM PDT, mad...@gmail.com wrote:
>Hi,
>
>in our course littrature a "design graph" of two factors R and S with
>associated maps s : I -> S and f : I -> S where I is some finite index
>set, is a graph with factor labeles as vertices and lines
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