Re: [R] R grep question

Post in plain text Use grepl On May 26, 2021 9:29:10 PM PDT, Kai Yang via R-help wrote: >Hi List, >I wrote the code to create a new variable: >CRC$MMR.gene<-ifelse(grep("MLH1"|"MSH2",CRC$gene.all,value=T),"Yes","No") >  > >I need to create MMR.gene column in CRC data frame, ifgene.all column >c

Re: [R] Testing optimization solvers with equality constraints

I meant: x0 = c (1, 1e-3, 0) Not: x0 = c (1, 1e6, 0) So, large intentional error may work too. Possibly, better...? On Thu, May 27, 2021 at 6:00 PM Abby Spurdle wrote: > > If I can re-answer the original post: > There's a relatively simple solution. > (For these problems, at least). > > #wrong

Re: [R] Testing optimization solvers with equality constraints

If I can re-answer the original post: There's a relatively simple solution. (For these problems, at least). #wrong x0 = c (1, 0, 0) NlcOptim::solnl(x0, objfun = f, confun = conf)$par Rdonlp2::donlp2(x0, fn = f, nlin = list(heq), nlin.lower = 0, nlin.upper = 0)$par #right x0 = c (1, 1e6, 0) NlcOpt

[R] R grep question

Hi List, I wrote the code to create a new variable: CRC$MMR.gene<-ifelse(grep("MLH1"|"MSH2",CRC$gene.all,value=T),"Yes","No")   I need to create MMR.gene column in CRC data frame, ifgene.all column contenes MLH1 or MSH2, then the MMR.gene=Yes, if not,MMR.gene=No But, the code doesn't work for me

Re: [R] Testing optimization solvers with equality constraints

I need to retract my previous post. (Except the part that the R has extremely good numerical capabilities). I ran some of the examples, and Hans W was correct. __ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mai

Re: [R] Decompose df1 into another df2 based on values in df1

Thank you for the reprex. However your specification was too vague for me to know exactly what your data are like, so I tried to assume the most general possibility, with the consequence that I may be giving you an answer to the wrong question. Hopefully, you can adjust as needed to get what you wa

[R] Decompose df1 into another df2 based on values in df1

Hello, I am trying to convert a df (given below as d1) into df2 (given below as res). I tried using loops for each row. I cannot get it right. Moreover the df is 25 x 500 in dimension and I cannot get it to work. Could anyone help me here please. Thanks. Adrian. d1 <- structure(list(S1 =

Re: [R] [External Email] Group by and add a constant value based on a condition dply

Hello, I too don't see why grouping is needed but here it goes. df1 %>% group_by(Department, Class) %>% mutate(Value = Value + 5*(Date == "4.01.2020")) Hope this helps, Rui Barradas Às 17:01 de 26/05/21, Christopher W Ryan via R-help escreveu: Is the grouping beforehand necessary? Coul

Re: [R] [External Email] Group by and add a constant value based on a condition dply

Is the grouping beforehand necessary? Could you simply, "for all the dates that are "4.01.2020" and have the "Value" greater than zero add 5 to the "Value" "? I may be missing something. --Chris Ryan On Wed, May 26, 2021 at 11:53 AM Elahe chalabi via R-help < r-help@r-project.org> wrote: > Hi

[R] Group by and add a constant value based on a condition dply

Hi everyone, I have the following dataframe:        structure(list(Department = c("A", "A", "A", "A", "A", "A", "A",       "A", "B", "B", "B", "B", "B", "B", "B", "B"), Class = c(1L, 1L,      1L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L), Value = c(0L,      100L, 800L, 800L, 0L, 300L,