Hello,
Try something like the following.
ix <- which(c("601", "604") %in% rownames(data))
clean <- data[-ix, ]
Hope this helps,
Rui Barradas
Citando Pauline Laïlle <pauline.lai...@gmail.com>:
Dear all,
I built a dataframe with read.csv2(). Initially, row names are integers
(order of answers to a survey). They are listed in the csv's first column.
The import works well and my dataframe looks like I wanted it to look.
Row names go as follows :
[1] "6" "29" "31" "32" "52" "55" "63" "71" "72" "80" "88" "89"
"91" "93" "105" "110" "111" "117" "119" "120"
[21] "122" "127" "128" "133" "137" "140" "163" "165" "167" "169" "177"
"178" "179" "184" "186" "192" "193" "200" "201" "228"
etc.
I would like to drop rows "601" & "604" to clean the dataframe.
While data["601",] shows me the first row i'd like to drop, data[-"601",]
returns the following :
Error in -"601" : invalid argument to unary operator
idem with data[c("601","604"),] and data[-c("601","604"),]
It is the first time that I run into this specific error. After reading a
bit about it I still don't understand what it means and how to fix it.
Thanks for reading!
Best,
Pauline.
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