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@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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