Re: [R] 'apply' for 0 or 1 element member.
Define
mean0na <- function(x) {
x[ 0 == x ] <- NA
mean( x, na.rm = TRUE )
}
and then use that instead of mean.
On August 10, 2023 7:25:08 PM PDT, ani jaya wrote:
>Hello,
>
>I try to calculate the mean of an array with a condition. My array is
>B=c(181,101,420) in dimensions. And I want to find a specific member
>in 3rd dimension (time monthly) based on a condition of another data
>frame, A =c(420). My final array would be C=c(181,101,12) which 12 is
>a monthly mean based on the condition of A.
>
>what I tried is below but doesn't work.
>
>#find the index with a condition larger than 0.5
>index<-which(A>=0.5)
>#convert the index to monthly
>index1<-index%%12
>#change 0 to 12 (Jan=1, Feb=2, and so on..)
>index1[index1==0]<-12
>
>for (i in 1:12){
>dummy<-index[which(index1==i)]
>C[,,i]<-apply(B[,,dummy],c(1,2), mean,na.rm=T)
>}
>
>The problem is when there is a month that doesnt meet the condition,
>it will return 0 element.
>
>apply(B[,,1],c(1,2), mean,na.rm=T) also produce an error.
>
>Any solution and turnaround would be appreciated.
>
>Thank you
>
>Ani Jaya
>
>__
>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
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--
Sent from my phone. Please excuse my brevity.
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[R] 'apply' for 0 or 1 element member.
Hello,
I try to calculate the mean of an array with a condition. My array is
B=c(181,101,420) in dimensions. And I want to find a specific member
in 3rd dimension (time monthly) based on a condition of another data
frame, A =c(420). My final array would be C=c(181,101,12) which 12 is
a monthly mean based on the condition of A.
what I tried is below but doesn't work.
#find the index with a condition larger than 0.5
index<-which(A>=0.5)
#convert the index to monthly
index1<-index%%12
#change 0 to 12 (Jan=1, Feb=2, and so on..)
index1[index1==0]<-12
for (i in 1:12){
dummy<-index[which(index1==i)]
C[,,i]<-apply(B[,,dummy],c(1,2), mean,na.rm=T)
}
The problem is when there is a month that doesnt meet the condition,
it will return 0 element.
apply(B[,,1],c(1,2), mean,na.rm=T) also produce an error.
Any solution and turnaround would be appreciated.
Thank you
Ani Jaya
__
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-es] Expresión en un objeto
Hola a todos: Se me ha planteado un problema que no está ligado a ningún problema concreto. Es más teórico. Supongamos que tenemos tres variables: V1 <- c (47, 71, 41, 23, 83, 152, 82, 8, 160, 18) V2a <- c (NA, 36, 15, 5, 56, 18, NA, 5, NA, 5) V2b <- c (37, NA, 15, NA, NA, NA, 90, NA, 161, NA) Supongamos que tengo la expresión (que no puedo asignarlo a ninguna variable): (ifelse (is.na (V2a) & ! is.na (V2b), V2b, V2a)) Supongamos que tengo que utilizar esta expresión dos o más veces y no puedo utilizar ni un xapply () ni un bucle. Por ejemplo: V3 <- (((ifelse (is.na (V2a) & ! is.na (V2b), V2b, V2a)) - V1)/V1)*100 V4 <- ifelse (! is.na ifelse (is.na (V2a) & ! is.na (V2b), V2b, V2a))-V1)/V1)*100), ifelse ifelse (is.na (V2a) & ! is.na (V2b), V2b, V2a))-V1)/V1)*100 > 0, "1", "0"), NA) Hay alguna forma de almacenar la expresión "(ifelse (is.na (V2a) & ! is.na (V2b), V2b, V2a))" en un objeto y utilizar el nombre del objeto en las ordenes (por ejemplo, con una hipotética función xfunc ()). Por ejemplo: ORD <- "(ifelse (is.na (V2a) & ! is.na (V2b), V2b, V2a))" V3 <- ((xfunc (ORD) - V1)/V1)*100 V4 <- ifelse (! is.na (((xfunc (ORD)-V1)/V1)*100), ifelse (((xfunc (ORD)-V1)/V1)*100 > 0, "1", "0"), NA) El ejemnplo és absurdo, pero solo lo presento como un hipotético ejercicio. Muchas gracias por la ayuda. ___ R-help-es mailing list R-help-es@r-project.org https://stat.ethz.ch/mailman/listinfo/r-help-es
Re: [R] Technical Help Request for "Version Differences" (i.e., CYTOFKIT package)
GIven that Cytofkit is removed from Bioconductor, and you seem new to everything, I would suggest like others already have that you install the most recent version of R for Windows https://cran.r-project.org/bin/windows/base/ and seek a more up-to-date package. For flow cytometry, I would like to recommend the CytoExploreR package (https://dillonhammill.github.io/CytoExploreR/ which is built on top of the core flow cytometry packages produced by RGLab (https://cytoverse.org/) and available on Bioconductor https://bioconductor.org/packages/release/bioc/html/openCyto.html God luck, Rob On 8/4/2023 2:10 AM, MURAT DELMAN via R-help wrote: Dear Ms./Mr., If the email text and codes below are not properly displayed, you can download the attached Word file, which has exactly the same content. I am a cytometrist and microscopist at Izmir Institute of Technology, Integrated Research Center. I operate a cytometer and fluorescence microscope to acquire data from our researchers’ samples and then give them analyzed data. I need to dive into bulk data to present all of the information in the sample. To do this, I have recently been trying to develop my skills in R, RStudio, and Cytofkit package for cytometry (flow, spectral, mass, imaging mass cytometry) data analysis. I am new in this area and must learn R for data analysis. May I request help from you or one of your assistants who is competent in R, RStudio, and R packages with the installation issues caused by “ version differences ” between R itself, R packages, and their dependencies? I really had to send this email to you anymore, because I could not run the package “Cytofkit” and find a solution on the internet. It has been nearly 2 weeks since I have been trying to solve the errors and warnings. I am in a vicious circle and cannot move forward anymore. This is why I needed help from an expert competent in R programming. I tried to use the renv package, but I could not move forward because I am not competent in R. I explained the errors that I faced during the installation below. I have two computers, both operating Windows 10, 64-bit. I installed R 3.5. 2 on the desktop (Windows in English) and R 3.5. 0 on the laptop (Windows in Turkish). I know that you are very busy with your work, but may you (or your assistant) help me by informing me how to install consistent versions of R, RStudio, and packages/dependencies (for example, Cytofkit, ggplot2, Rtools, devtools, plyr, shiny, GUI)? I guess I will need exact web page links " in an orderly manner" to download the correct versions of everything. I would appreciate it if you could advise me or forward this email to one of your assistants or experts. I really appreciate any help you can provide. Kind Regards Please find the technical details below; I used the installation order listed below; I downloaded R 3.5.0 and R 3.5.2 using the link and directory below. Link: [ https://www.freestatistics.org/cran/ | https://www.freestatistics.org/cran/ ] Directory: Download R for Windows > install R for the first time > Previous releases > R 3.5.2 (December, 2018) or R 3.5.0 I downloaded RStudio from the link below; [ https://posit.co/download/rstudio-desktop/ | https://posit.co/download/rstudio-desktop/ ] I downloaded packages via either [ https://cran.rstudio.com/bin/windows/contrib/r-devel/ | https://cran.rstudio.com/bin/windows/contrib/r-devel/ ] or the “install function” tab in RStudio. Rtools : [ https://cran.r-project.org/bin/windows/Rtools/ | https://cran.r-project.org/bin/windows/Rtools/ ] Devtools : [ https://cran.r-project.org/web/packages/devtools/index.html | https://cran.r-project.org/web/packages/devtools/index.html ] ggplot2 : [ https://cran.r-project.org/web/packages/ggplot2/index.html | https://cran.r-project.org/web/packages/ggplot2/index.html ] [ https://ggplot2.tidyverse.org/ | https://ggplot2.tidyverse.org/ ] [ https://cran.r-project.org/web/packages/ggplot2/ggplot2.pdf | https://cran.r-project.org/web/packages/ggplot2/ggplot2.pdf ] plyr : [ https://cran.r-project.org/web/packages/plyr/index.html | https://cran.r-project.org/web/packages/plyr/index.html ] shiny : [ https://cran.r-project.org/web/packages/shiny/index.html | https://cran.r-project.org/web/packages/shiny/index.html ] [ https://shiny.posit.co/r/getstarted/shiny-basics/lesson1/index.html | https://shiny.posit.co/r/getstarted/shiny-basics/lesson1/index.html ] [ https://github.com/rstudio/shiny | https://github.com/rstudio/shiny ] cytofkit : [ https://github.com/JinmiaoChenLab/cytofkit | https://github.com/JinmiaoChenLab/cytofkit ] [ https://bioconductor.riken.jp/packages/3.3/bioc/html/cytofkit.html | https://bioconductor.riken.jp/packages/3.3/bioc/html/cytofkit.html ] [ https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1005112=printable |
