How to create a loop to check number of levels for every variable?
I'm a newbie to rstudio, and I'm stuck on this part cleaning the data. So basically I need to remove all variables with nlevels <=2, then forming a cleaned new data. I want to create an if else statement that does this for me. How should I do it? The data I'm trying to clean is called "full_clean", I wrote the code below but it wouldn't run and looks very messy. Thanks in advance!
for (i in 1:ncol(full_clean))
if(nlevels(as.factor(lapply((head(full_clean,n=0)[2],factor)))))
full_clean <- select(full_clean, -colnames(full_clean[i]))
rstudio
asked Nov 15 '18 at 0:26
angieangie6699angieangie6699
1
add a comment |
I'm a newbie to rstudio, and I'm stuck on this part cleaning the data. So basically I need to remove all variables with nlevels <=2, then forming a cleaned new data. I want to create an if else statement that does this for me. How should I do it? The data I'm trying to clean is called "full_clean", I wrote the code below but it wouldn't run and looks very messy. Thanks in advance!
for (i in 1:ncol(full_clean))
if(nlevels(as.factor(lapply((head(full_clean,n=0)[2],factor)))))
full_clean <- select(full_clean, -colnames(full_clean[i]))
rstudio
asked Nov 15 '18 at 0:26
angieangie6699angieangie6699
1
Wouldn'tdplyr::filterdo the job already?df %>% filter(nlevels <= 2)
– kon_u
Nov 15 '18 at 12:30
add a comment |
I'm a newbie to rstudio, and I'm stuck on this part cleaning the data. So basically I need to remove all variables with nlevels <=2, then forming a cleaned new data. I want to create an if else statement that does this for me. How should I do it? The data I'm trying to clean is called "full_clean", I wrote the code below but it wouldn't run and looks very messy. Thanks in advance!
for (i in 1:ncol(full_clean))
if(nlevels(as.factor(lapply((head(full_clean,n=0)[2],factor)))))
full_clean <- select(full_clean, -colnames(full_clean[i]))
rstudio
asked Nov 15 '18 at 0:26
angieangie6699angieangie6699
1
I'm a newbie to rstudio, and I'm stuck on this part cleaning the data. So basically I need to remove all variables with nlevels <=2, then forming a cleaned new data. I want to create an if else statement that does this for me. How should I do it? The data I'm trying to clean is called "full_clean", I wrote the code below but it wouldn't run and looks very messy. Thanks in advance!
for (i in 1:ncol(full_clean))
if(nlevels(as.factor(lapply((head(full_clean,n=0)[2],factor)))))
full_clean <- select(full_clean, -colnames(full_clean[i]))
rstudio
rstudio
asked Nov 15 '18 at 0:26
angieangie6699angieangie6699
1
asked Nov 15 '18 at 0:26
angieangie6699angieangie6699
1
asked Nov 15 '18 at 0:26
angieangie6699angieangie6699
1
asked Nov 15 '18 at 0:26
angieangie6699angieangie6699
1
asked Nov 15 '18 at 0:26
angieangie6699angieangie6699
1
1
Wouldn'tdplyr::filterdo the job already?df %>% filter(nlevels <= 2)
– kon_u
Nov 15 '18 at 12:30
add a comment |
Wouldn'tdplyr::filterdo the job already?df %>% filter(nlevels <= 2)
– kon_u
Nov 15 '18 at 12:30
Wouldn't
dplyr::filter do the job already? df %>% filter(nlevels <= 2)– kon_u
Nov 15 '18 at 12:30
Wouldn't
dplyr::filter do the job already? df %>% filter(nlevels <= 2)– kon_u
Nov 15 '18 at 12:30
add a comment |
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Wouldn't
dplyr::filterdo the job already?df %>% filter(nlevels <= 2)– kon_u
Nov 15 '18 at 12:30