[R] Question about Rfast colMins and colMaxs

[Stephen H. Dawson, DSL]

Well, no it is not. The email list stripped off the attachment.

The data is numeric, happens to be all whole numbers.


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


On 11/30/21 5:14 PM, Stephen H. Dawson, DSL via R-help wrote:
> 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 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,
>
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