R help - Nov 2021 - Question about Rfast colMins and colMaxs

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. Since you have told us nothing useful about the data, it is up to you
to inspect your data and figure out what to do with it.

On November 30, 2021 10:55:13 AM PST, "Stephen H. Dawson, DSL via
R-help" <r-help at 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,
-- 
Sent from my phone. Please excuse my brevity.

Hi Jeff,


Thanks for the data review offer. Attached is the CSV.


*Stephen Dawson, DSL*
/Executive Strategy Consultant/
Business & Technology
+1 (865) 804-3454
http://www.shdawson.com <http://www.shdawson.com>


On 11/30/21 3:29 PM, Jeff Newmiller wrote:
> 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. Since you have told us nothing useful about the data, it is up to you
to inspect your data and figure out what to do with it.
>
> On November 30, 2021 10:55:13 AM PST, "Stephen H. Dawson, DSL via
R-help" <r-help at 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,