Ok, so nothing to worry about. Yet, are there other checks I can implement?
Thank you
On Thu, 5 Aug 2021, 15:40 Duncan Murdoch, wrote:
> On 05/08/2021 9:16 a.m., Luigi Marongiu wrote:
> > Hello,
> > I am using a large spreadsheet (over 600 variables).
> > I tried `str` to check the dimensions
Luigi,
Duncan answered part of your question. My feedback is to consider looking at
your data using other tools besides str().
There are ways in base R to get lists of row or column names or count them
or ask what types they are and so forth.
Printing an entire large object is hard but printing
Thank you very much, the code worked the trick. Thank you, i appreciate.
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On Thu, Aug 5, 2021 at 11:53 AM Jim Lemon wrote:
> Hi Admire,
> I think rep_n_stack in the pretty
Hello,
I am using a large spreadsheet (over 600 variables).
I tried `str` to check the dimensions of the spreadsheet and I got
```
> (str(df))
'data.frame': 302 obs. of 626 variables:
$ record_id : int 1 1 1 1 1 1 1 1 1 1 ...
$ v1_medicamento___aceta: int 1 NA NA NA NA
Hi Admire,
I think rep_n_stack in the prettyR package may do what you want:
# download and install the prettyR package
install.packages("prettyR")
# load the prettyR package
library(prettyR)
# read in your data
ATCdf<-read.csv("BOP_All_Countries.csv",stringsAsFactors=TRUE)
# convert the values you
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