[R] Question about Rfast colMins and colMaxs

[Richard O'Keefe]

What puzzles me is why you are not just using
lapply(some.data.frame, min)
lapply(some.data.frame, max)
or as.vector(lapply(...))
Why go to another package for this?
Is it the indices you want?

col.min.indices <- function (some.data.frame) {
    v <- sapply(some.data.frame, function (column)
           which(column == min(column))[1])
    names(v) <- colnames(some.data.frame)
    v
}


On Wed, 1 Dec 2021 at 07:55, Stephen H. Dawson, DSL via R-help <
r-help using r-project.org> wrote:

> Hi,
>
>
> I am working to understand the Rfast functions of colMins and colMaxs. I
> worked through the example listed on page 54 of the PDF.
>
> https://cran.r-project.org/web/packages/Rfast/index.html
>
> https://cran.r-project.org/web/packages/Rfast/Rfast.pdf
>
> My data is in a CSV file. So, I bring it into R Studio using:
> Data <- read.csv("./input/DataSet05.csv", header=T)
>
> However, I read the instructions listed on page 54 of the PDF saying I
> need to bring data into R using a matrix. I think read.csv brings the
> data in as a dataframe. I think colMins is failing because it is looking
> for a matrix but finds a dataframe.
>
>  > colMaxs(Data)
> Error in colMaxs(Data) :
>    Not compatible with requested type: [type=list; target=double].
>  > colMins(Data, na.rm = TRUE)
> Error in colMins(Data, na.rm = TRUE) :
>    unused argument (na.rm = TRUE)
>  > colMins(Data, value = FALSE, parallel = FALSE)
> Error in colMins(Data, value = FALSE, parallel = FALSE) :
>    Not compatible with requested type: [type=list; target=double].
>
> QUESTION
> What is the best practice to bring a csv file into R Studio so it can be
> accessed by colMaxs and colMins, please?
>
>
> Thanks,
> --
> *Stephen Dawson, DSL*
> /Executive Strategy Consultant/
> Business & Technology
> +1 (865) 804-3454
> http://www.shdawson.com <http://www.shdawson.com>
>
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