Thank you very much for the clarification. I will try to use a more precise
language next time.
Warm regards
Migdonio G.
On Sat, Jul 10, 2021 at 11:30 AM Bert Gunter wrote:
> "It seems that your problem is that you are using single quotes inside of
> the double quotes."
>
> That is FALSE. From
On 10/07/2021 12:30 p.m., Bert Gunter wrote:
"It seems that your problem is that you are using single quotes inside of
the double quotes."
That is FALSE. From ?Quotes:
"Single and double quotes delimit character constants. They can be
used interchangeably but double quotes are preferred (and
"It seems that your problem is that you are using single quotes inside of
the double quotes."
That is FALSE. From ?Quotes:
"Single and double quotes delimit character constants. They can be
used interchangeably but double quotes are preferred (and character
constants are printed using double
Hello Kai,
Just as you did to store the data inside of rr. Try class(rr[[1]]) or
class(rr[[2]]) and so on to explore a bit more. The variable rr is a list
that contains dataframes within it. To access the dataframes you must use
the syntax rr[[i]] where i is the index of the element of the list
It seems that your problem is that you are using single quotes inside of
the double quotes. This is not necessary. Here is the corrected for-loop:
for (j in 1:nrow(ora))
{
mycol <- ora[j,"fname"]
mycsv <- paste0(mycol,".csv")
rdcsv <-
Hello,
1. When there are systematic errors, use ?try or, better yet, ?tryCatch.
Something like the code below will create a list of errors and read in
the data if none occurred.
The code starts by creating an empty list for tryCatch results. It uses
?file.path instead of noquote/paste0 to
Hi Migdonio,
I did try your code:
# Initialize the rr variable as a list.
rr <- as.list(rep(NA, nrow(ora)))
# Run the for-loop to store all the CSVs in rr.
for (j in 1:nrow(ora))
{
mycol <- ora[j,"fname"]
mycsv <- paste0(mycol,".csv")
rdcsv <-
it complained about ASSAY_DEFINITIONS not about RESPONDENTS.
Can you try with the ASSAY_DEFINITIONS file?
On Fri, Jul 9, 2021 at 9:10 PM Kai Yang via R-help
wrote:
> Hello List,
> I use for loop to read csv difference file into data frame rr. The data
> frame rr will be deleted after a
Hello List,
I use for loop to read csv difference file into data frame rr. The data frame
rr will be deleted after a comparison and go to the next csv file. Below is my
code:
for (j in 1:nrow(ora))
{
mycol <- ora[j,"fname"]
mycsv <- paste0(mycol,".csv'")
rdcsv <-
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