Dear Grzés,
I am not sure whether I fully understand your question, but try either one
of the following options:
# Data set from Dimitri Liakhovitski's reply
df <- data.frame(kol1=c(2,9,4,3),kol2=c(5,6,6,2),kol3=c(9,6,5,1))
# Option 1
with(df, df[ kol1 != 9 & kol2 != 9 & kol3 != 9, ])
# Option
I am not sure what you are trying to achive. How about:
df<-data.frame(kol1=c(2,9,4,3),kol2=c(5,6,6,2),kol3=c(9,6,5,1))
(df)
new.df<-df[(!(df[[1]] %in% 9)&!(df[[2]] %in% 9)&!(df[[3]] %in% 9)),]
(new.df)
But why would you want to delete all the valid values in all the other
columns if you have you
I have a database like this:
"kol1";"kol2";"kol3" ...
"2";"5";"9"
"9";"6";"6"
"4";"6";"5"...
I looking for a kod in R which let mi aviod in column unnecessary value, for
example number "9".
So, if I have:
Kol1
2
9
4
4...
after loop in R I would like to get my column like this:
Kol1
2
4
4..
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