Re: [R] Off-topic: ChatGPT Code Interpreter
Às 00:23 de 18/07/2023, Jim Lemon escreveu: I haven't really focused on the statistical capabilities of AI, that marriage of massive memory and associative learning. I am impressed by its ability to perform text-to-image conversion, something I have recently needed. My artistic ability is that of the average three year old, yet I can employ AI to translate my mental images into realistic pictures. Perhaps we really are learning about how we think. As far as I am aware, it just does what we tell it to do. Like other tools, it is as good or bad as the user. Jim __ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. Hello, Also off-topic but the date is fun: A system is not a head. Furniture is not people. All processes and all devices, will be useless for organizations, if the heads of the individuals who employ them, are not properly organized. And these heads will be organized, if the same part of the boss's body that directs them is properly organized. Just like you can write nonsense with a latest model typewriter, nonsense can also be done with the most perfect systems and devices meant to help you not to. Systems, processes, furniture, machines, are purely auxiliary elements. The real process is to think. The fundamental machine is intelligence. Fernando Pessoa, 1926 Revista de Comércio e Contabilidade, nº 4. Lisboa, 25-4-1926. (Magazine of Commerce and Accounting, nº 4. Lisbon, 25-4-1926) Rui Barradas __ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] how to change the y-axis to logarithmic in a barplot ggplot
Hi, Have you tried: scale_y_continuous(trans='log10') HTH, Kimmo Lähettäjä: Maria Lathouri via R-help Lähetetty: maanantai 17. heinäkuuta 2023 23.01.57 Vastaanottaja: Maria Lathouri via R-help; Ivan Krylov Aihe: Re: [R] how to change the y-axis to logarithmic in a barplot ggplot Hi Ivan, yes you are right. I have many values close to zero and if I use log, they are instantly transformed to negative values and then the bars show above. The sqrt trans worked ok but when I used the pseudo_log_trans, it did the work! Many thanks. Kind regards, Maria Στις Δευτέρα 17 Ιουλίου 2023 στις 04:43:59 π.μ. GMT+1, ο χρήστης Ivan Krylov έγραψε: On Sun, 16 Jul 2023 21:51:10 + (UTC) Maria Lathouri via R-help wrote: > As you can see, the values range from 0 to 400. I want it to plot it > in bars; when I am plotting it as you can imagine the values near > zero don't show at all. A logarithmic scale won't work when the range of numbers to display includes 0. It would have worked if it was some small non-zero quantity, but an actual zero is infinitely far down; it won't fit. There is a number of transformations described in help(scale_y_continuous). You may find trans="pseudo_log" or trans="sqrt" useful. help(geom_bar) recommends geom_col() instead of geom_bar() to represent values (not counts of occurrences). We could help you more efficiently if you clarified the relationship between your data (with columns `ID`, `values`, `databases`) and your code (which mentions `Temp`, `mean`, `Glass`). -- Best regards, Ivan __ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. __ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] Off-topic: ChatGPT Code Interpreter
I haven't really focused on the statistical capabilities of AI, that marriage of massive memory and associative learning. I am impressed by its ability to perform text-to-image conversion, something I have recently needed. My artistic ability is that of the average three year old, yet I can employ AI to translate my mental images into realistic pictures. Perhaps we really are learning about how we think. As far as I am aware, it just does what we tell it to do. Like other tools, it is as good or bad as the user. Jim __ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] how to change the y-axis to logarithmic in a barplot ggplot
Hi Ivan, yes you are right. I have many values close to zero and if I use log, they are instantly transformed to negative values and then the bars show above. The sqrt trans worked ok but when I used the pseudo_log_trans, it did the work! Many thanks. Kind regards, Maria Στις Δευτέρα 17 Ιουλίου 2023 στις 04:43:59 π.μ. GMT+1, ο χρήστης Ivan Krylov έγραψε: On Sun, 16 Jul 2023 21:51:10 + (UTC) Maria Lathouri via R-help wrote: > As you can see, the values range from 0 to 400. I want it to plot it > in bars; when I am plotting it as you can imagine the values near > zero don't show at all. A logarithmic scale won't work when the range of numbers to display includes 0. It would have worked if it was some small non-zero quantity, but an actual zero is infinitely far down; it won't fit. There is a number of transformations described in help(scale_y_continuous). You may find trans="pseudo_log" or trans="sqrt" useful. help(geom_bar) recommends geom_col() instead of geom_bar() to represent values (not counts of occurrences). We could help you more efficiently if you clarified the relationship between your data (with columns `ID`, `values`, `databases`) and your code (which mentions `Temp`, `mean`, `Glass`). -- Best regards, Ivan __ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] how to change the y-axis to logarithmic in a barplot ggplot
Dear Bert, Thank you very much for the tip. The reason that I took the initiative to write here is because I receive here as well questions about ggplot. Next time I will use the ggplot help. Maria Στις Δευτέρα 17 Ιουλίου 2023 στις 12:20:25 π.μ. GMT+1, ο χρήστης Bert Gunter έγραψε: Maria, ggplot is part of the Posit -- formerly RStudio -- assortment of contributed packages. They have their own support site here , which you *may* find useful for such questions, also. Though ggplot queries *are* frequently posted and answered on R-Help. Cheers, Bert On Sun, Jul 16, 2023 at 3:58 PM Maria Lathouri via R-help wrote: > I will find the ggplot help. > > But I have tried everything, including what you have suggested and nothing > works. > > Kind regards, > Maria > > > > > > > Στις Κυριακή 16 Ιουλίου 2023 στις 11:22:36 μ.μ. GMT+1, ο χρήστης CALUM > POLWART έγραψε: > > > > > > Try adding > > scale_y_log10() > > This is a general R help list. It's not a ggplot list and you are likely to > be chased off to ggplot's package maintainers nominated support pages. > > But really a Google search should surely have found this? > > > > On Sun, 16 Jul 2023, 22:51 Maria Lathouri via R-help, > wrote: >> Dear all, >> >> ggplot(fc, aes(x = Temp, y = mean, fill = Glass)) + >> geom_bar(stat = "identity", position = "dodge", aes(y=log(mean))) >> + theme_bw() + theme(panel.grid.major = element_blank(), panel.grid.minor = >> element_blank()) + theme(legend.position = c(0.45, 0.85), legend.title = >> element_blank()) >> + scale_fill_brewer(palette = "Dark2") + scale_color_brewer(palette = >> "Dark2") + >> > scale_y_log10() > > __ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > __ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] Obtaining R-squared from All Possible Combinations of Linear Models Fitted
MuMln is a package designed to select optimum models mainly based on information criteria. R-squared is not a suitable criterion for this purpose. As far as I can see is not covered in this package. (I presume you already know that R-squared for the model with all possible regressors is at least as great as R with any subset of the regressors). If you want to calculate all these R-squared's it should be easy to write a small routine to estimate them. I am very curious as to why you wish to do this. John C Frain. 3 Aranleigh Park Rathfarnham Dublin 14 Ireland www.tcd.ie/Economics/staff/frainj/home.html https://jcfrain.wordpress.com/ https://jcfraincv19.wordpress.com/ mailto:fra...@tcd.ie mailto:fra...@gmail.com On Mon, 17 Jul 2023 at 18:25, Paul Bernal wrote: > Dear friends, > > I need to automatically fit all possible linear regression models (with all > possible combinations of regressors), and found the MuMIn package, which > has the dredge function. > > This is the dataset I am working with: > > dput(final_frame) > structure(list(y = c(41.9, 44.5, 43.9, 30.9, 27.9, 38.9, 30.9, > 28.9, 25.9, 31, 29.5, 35.9, 37.5, 37.9), x1 = c(6.6969, 8.7951, > 9.0384, 5.9592, 4.5429, 8.3607, 5.898, 5.6039, 4.9176, 6.2712, > 5.0208, 5.8282, 5.9894, 7.5422), x4 = c(1.488, 1.82, 1.5, 1.121, > 1.175, 1.777, 1.24, 1.501, 0.998, 0.975, 1.5, 1.225, 1.256, 1.69 > ), x8 = c(22, 50, 23, 32, 40, 48, 51, 32, 42, 30, 62, 32, 40, > 22), x2 = c(1.5, 1.5, 1, 1, 1, 1.5, 1, 1, 1, 1, 1, 1, 1, 1.5), > x7 = c(3, 4, 3, 3, 3, 4, 3, 3, 4, 2, 4, 3, 3, 3)), class = > "data.frame", row.names = c(NA, > -14L)) > > I started with the all regressor model, which I called globalmodel as > follows: > #Fitting Regression model with all possible combinations of regressors > options(na.action = "na.fail") # change the default "na.omit" to prevent > models > globalmodel <- lm(y~., data=final_frame) > > Then, the following code provides the different coefficients (for > regressors and the intercept) for each of the possible model combinations: > combinations <- dredge(globalmodel) > print(combinations) > I would like to retrieve the R-squared generated by each combination, but > have not been able to get it thus far. > > Any guidance on how to retrieve the R-squared from all linear model > combinations would be greatly appreciated. > > Kind regards, > Paul > > [[alternative HTML version deleted]] > > __ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > [[alternative HTML version deleted]] __ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] Off-topic: ChatGPT Code Interpreter
This seems spot on, given that Paul Bernal just posted a request to fit all possible models and compare them using r-squared. The all models approach does not promote understanding about what your model is saying about the data and how the system works. Nor does it facilitate fitting the methods to best address the research goals. Tim -Original Message- From: R-help On Behalf Of Bert Gunter Sent: Monday, July 17, 2023 2:46 PM To: R-help Subject: [R] Off-topic: ChatGPT Code Interpreter [External Email] This is an **off-topic** post about the subject line, that I thought might be of interest to the R Community. I hope this does not offend anyone. The widely known ChatGPT software now offers what is called a "Code Interpreter," that, among other things, purports to do "data analysis." (Search for articles with details.) One quote, from the (online) NY Times, is: "Arvind Narayanan, a professor of computer science at Princeton University, cautioned that people should not become overly reliant on code interpreter for data analysis as A.I. still produces inaccurate results and misinformation. 'Appropriate data analysis requires just a lot of critical thinking about the data," he said.' " Amen. ... Maybe. (As this is off-topic, if you wish to reply to me, probably better to do so privately). Cheers to all, Bert __ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.r-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. __ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] Off-topic: ChatGPT Code Interpreter
I don't know about ChatGPT, but Daniel Kahneman won the 2002 Nobel Memorial Prize in Economics,[1] even though he's not an economist, for his leadership in creating a new subfield in the intersection of human psychology and economics now called "behavioral economics".[2] Then in 2009 Kahneman and Gary Klein published an article on, "Conditions for intuitive expertise: a failure to disagree", which concluded that expert intuition is learned from frequent, rapid, high-quality feedback. People you do not learn from frequent, rapid, high-quality feedback can be beaten by simple heuristics developed by intelligent lay people.[3] That includes most professions, which Kahneman Sibony and Sunstein call "respect-experts". Kahneman Sibony and Sunstein further report that with a little data, a regression model can outperform a simple heuristic, and with massive amounts of data, artificial intelligence can outperform regression models.[4] An extreme but real example of current reality was describe in an article on "Asylum roulette": With asylum judges in the same jurisdiction with cases assigned at random, one judge approved 5 percent of cases while another approved 88 percent.[5] However, virtually all "respect-experts" are influenced in their judgements by time of day and whether their favorite sports team won or lost the previous day. That level of noise can be reduced dramatically by use of appropriate artificial intelligence. Comments? Spencer Graves [1] https://en.wikipedia.org/wiki/Daniel_Kahneman [2] https://en.wikipedia.org/wiki/Behavioral_economics [3] https://www.researchgate.net/publication/26798603_Conditions_for_Intuitive_Expertise_A_Failure_to_Disagree [4] Daniel Kahneman; Olivier Sibony; Cass Sunstein (2021). Noise: A Flaw in Human Judgment (Little, Brown and Company). [5] https://en.wikipedia.org/wiki/Refugee_roulette On 7/17/23 1:46 PM, Bert Gunter wrote: This is an **off-topic** post about the subject line, that I thought might be of interest to the R Community. I hope this does not offend anyone. The widely known ChatGPT software now offers what is called a "Code Interpreter," that, among other things, purports to do "data analysis." (Search for articles with details.) One quote, from the (online) NY Times, is: "Arvind Narayanan, a professor of computer science at Princeton University, cautioned that people should not become overly reliant on code interpreter for data analysis as A.I. still produces inaccurate results and misinformation. 'Appropriate data analysis requires just a lot of critical thinking about the data,” he said.' " Amen. ... Maybe. (As this is off-topic, if you wish to reply to me, probably better to do so privately). Cheers to all, Bert __ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. __ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R] Off-topic: ChatGPT Code Interpreter
This is an **off-topic** post about the subject line, that I thought might be of interest to the R Community. I hope this does not offend anyone. The widely known ChatGPT software now offers what is called a "Code Interpreter," that, among other things, purports to do "data analysis." (Search for articles with details.) One quote, from the (online) NY Times, is: "Arvind Narayanan, a professor of computer science at Princeton University, cautioned that people should not become overly reliant on code interpreter for data analysis as A.I. still produces inaccurate results and misinformation. 'Appropriate data analysis requires just a lot of critical thinking about the data,” he said.' " Amen. ... Maybe. (As this is off-topic, if you wish to reply to me, probably better to do so privately). Cheers to all, Bert __ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R] Obtaining R-squared from All Possible Combinations of Linear Models Fitted
Dear friends, I need to automatically fit all possible linear regression models (with all possible combinations of regressors), and found the MuMIn package, which has the dredge function. This is the dataset I am working with: > dput(final_frame) structure(list(y = c(41.9, 44.5, 43.9, 30.9, 27.9, 38.9, 30.9, 28.9, 25.9, 31, 29.5, 35.9, 37.5, 37.9), x1 = c(6.6969, 8.7951, 9.0384, 5.9592, 4.5429, 8.3607, 5.898, 5.6039, 4.9176, 6.2712, 5.0208, 5.8282, 5.9894, 7.5422), x4 = c(1.488, 1.82, 1.5, 1.121, 1.175, 1.777, 1.24, 1.501, 0.998, 0.975, 1.5, 1.225, 1.256, 1.69 ), x8 = c(22, 50, 23, 32, 40, 48, 51, 32, 42, 30, 62, 32, 40, 22), x2 = c(1.5, 1.5, 1, 1, 1, 1.5, 1, 1, 1, 1, 1, 1, 1, 1.5), x7 = c(3, 4, 3, 3, 3, 4, 3, 3, 4, 2, 4, 3, 3, 3)), class = "data.frame", row.names = c(NA, -14L)) I started with the all regressor model, which I called globalmodel as follows: #Fitting Regression model with all possible combinations of regressors options(na.action = "na.fail") # change the default "na.omit" to prevent models globalmodel <- lm(y~., data=final_frame) Then, the following code provides the different coefficients (for regressors and the intercept) for each of the possible model combinations: combinations <- dredge(globalmodel) print(combinations) I would like to retrieve the R-squared generated by each combination, but have not been able to get it thus far. Any guidance on how to retrieve the R-squared from all linear model combinations would be greatly appreciated. Kind regards, Paul [[alternative HTML version deleted]] __ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R] Dates and location for useR! 2024
Dear All, We are pleased to announce that useR! 2024 will be a hybrid conference, taking place 8-11 July in Salzburg, Austria. The conference website is yet to be set up. In the meantime, you can keep up-to-date the following ways: useR! LinkedIn Page: https://www.linkedin.com/company/user-conf useR! Twitter: https://twitter.com/_useRconf R Foundation Mastodon: https://fosstodon.org/@R_Foundation (we will likely set up a Mastodon account for useR! in due course) Best wishes, Heather On behalf of the R Foundation Conference Committee ___ r-annou...@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-announce __ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] how to change the y-axis to logarithmic in a barplot ggplot
Hi, try: scale_y_continuous(trans='log10') HTH, Kimmo 17. heinäk. 2023, 1.58, Maria Lathouri via R-help mailto:r-help@r-project.org>> kirjoitti: I will find the ggplot help. But I have tried everything, including what you have suggested and nothing works. Kind regards, Maria Στις Κυριακή 16 Ιουλίου 2023 στις 11:22:36 μ.μ. GMT+1, ο χρήστης CALUM POLWART έγραψε: Try adding scale_y_log10() This is a general R help list. It's not a ggplot list and you are likely to be chased off to ggplot's package maintainers nominated support pages. But really a Google search should surely have found this? On Sun, 16 Jul 2023, 22:51 Maria Lathouri via R-help, wrote: Dear all, ggplot(fc, aes(x = Temp, y = mean, fill = Glass)) + geom_bar(stat = "identity", position = "dodge", aes(y=log(mean))) + theme_bw() + theme(panel.grid.major = element_blank(), panel.grid.minor = element_blank()) + theme(legend.position = c(0.45, 0.85), legend.title = element_blank()) + scale_fill_brewer(palette = "Dark2") + scale_color_brewer(palette = "Dark2") + scale_y_log10() R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. [[alternative HTML version deleted]] __ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] nlmixr2 installation problems
On Mon, 17 Jul 2023 08:23:19 +0200
Troels Ring wrote:
> install.packages("openssl",dependencies=TRUE,type="source") and
> likewise for sass resulted in a lengthy compilation and installation
> process ending happily, however, after which
>
> install.packages("nlmixr2",dependencies=TRUE)
>
> appeared to do as expected
>
> Strange only, that RStudio doesn't suggest the type="source" by itself
It sounds like R was using utils::askYesNo() to confirm whether you'd
like to install newer source packages, but the pop-up window was lost
behind the RStudio window. Unfortunately, this doesn't seem to be
something that an R front-end could handle on its end.
Glad you solved the problem anyway.
--
Best regards,
Ivan
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Re: [R] nlmixr2 installation problems
Problem solved, I think:
issuing
install.packages("openssl",dependencies=TRUE,type="source") and likewise
for sass resulted in a lengthy compilation and installation process
ending happily, however, after which
install.packages("nlmixr2",dependencies=TRUE)
appeared to do as expected
Strange only, that RStudio doesn't suggest the type="source" by itself
Best wishes
Troels
Den 17-07-2023 kl. 07:54 skrev Troels Ring:
Thanks a lot - I was not offered the opportunity to recompile - the
system just stopped. Also, today trying
install.packages("sass") Installing package into
‘C:/Users/Admin/AppData/Local/R/win-library/4.3’ (as ‘lib’ is
unspecified) also installing the dependencies ‘digest’, ‘base64enc’,
‘fastmap’, ‘ellipsis’, ‘fs’, ‘htmltools’, ‘rappdirs’ There is a binary
version available but the source version is later: binary source
needs_compilation sass 0.4.6 0.4.7 TRUE - and nothing further - so
definitely not a nlmixr2 issue, right? Best wishes Troels
Den 16-07-2023 kl. 17:21 skrev Rui Barradas:
Às 12:55 de 16/07/2023, Troels Ring escreveu:
Hi friends - Trying to install nlmixr2 caused problems. I'm on windows
with R4.3.1 so made sure to have rtools 4.3 and also reinstalled R
and then
ran
install.packages("nlmixr2",dependencies = TRUE)and got the
responseInstalling package into
‘C:/Users/Admin/AppData/Local/R/win-library/4.3’ (as ‘lib’ is
unspecified) also installing the dependencies ‘fs’, ‘rappdirs’, ‘bit’,
‘prettyunits’, ‘rematch’, ‘askpass’, ‘sass’, ‘commonmark’, ‘proxy’,
‘bit64’, ‘progress’, ‘rootSolve’, ‘lmom’, ‘cellranger’, ‘jsonlite’,
‘mime’, ‘openssl’, ‘htmlwidgets’, ‘ellipsis’, ‘bslib’, ‘fontawesome’,
‘jquerylib’, ‘tinytex’, ‘curl’, ‘markdown’, ‘jpeg’, ‘xml2’, ‘fastmap’,
‘e1071’, ‘generics’, ‘tidyselect’, ‘clipr’, ‘hms’, ‘vroom’, ‘cpp11’,
‘tzdb’, ‘stringi’, ‘purrr’, ‘mvtnorm’, ‘expm’, ‘rstudioapi’, ‘Exact’,
‘gld’, ‘readxl’, ‘httr’, ‘gridExtra’, ‘htmlTable’, ‘viridis’,
‘htmltools’, ‘base64enc’, ‘rmarkdown’, ‘Formula’, ‘bitops’, ‘evaluate’,
‘highr’, ‘xfun’, ‘yaml’, ‘numDeriv’, ‘lazyeval’, ‘optextras’, ‘dparser’,
‘RcppEigen’, ‘StanHeaders’, ‘sitmo’, ‘gridtext’, ‘cachem’,
‘RcppParallel’, ‘RApiSerialize’, ‘stringfish’, ‘classInt’, ‘dplyr’,
‘readr’, ‘stringr’, ‘tidyr’, ‘assertthat’, ‘binom’, ‘Deriv’,
‘DescTools’, ‘Hmisc’, ‘minpack.lm’, ‘pander’, ‘png’, ‘RCurl’,
‘backports’, ‘checkmate’, ‘knitr’, ‘lbfgsb3c’, ‘minqa’, ‘n1qn1’, ‘Rcpp’,
‘rex’, ‘Rvmmin’, ‘symengine’, ‘BH’, ‘RcppArmadillo’, ‘rxode2parse’,
‘rxode2random’, ‘data.table’, ‘digest’, ‘ggtext’, ‘PreciseSums’,
‘inline’, ‘memoise’, ‘sys’, ‘rxode2ll’, ‘rxode2et’, ‘qs’, ‘vpc’, ‘xgxr’,
‘nlmixr2data’, ‘nlmixr2est’, ‘nlmixr2extra’, ‘rxode2’, ‘lotri’,
‘nlmixr2plot’, ‘crayon’ There are binary versions available but the
source versions are later: binary source needs_compilation sass 0.4.6
0.4.7 TRUE openssl 2.0.6 2.1.0 TRUE
- and nothing more happened But when trying to install sass and openssl
individually the same announcement of later source versions appeared
without making it possible to ask for recompilation. All best wishes
Troels
[[alternative HTML version deleted]]
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Hello,
Maybe this [1] is relevant.
[1]
https://community.rstudio.com/t/meaning-of-common-message-when-install-a-package-there-are-binary-versions-available-but-the-source-versions-are-later/2431
Hope this helps,
Rui Barradas
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PLEASE do read the posting guide
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and provide commented, minimal, self-contained, reproducible code.
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R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
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R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
