filter row using logical condation

[will99]

Hi,
I have data frame & I want to filter two columns based on condition
df that have these variables (var1,var2,var3,var4)
absDiff <- abs(w_size - z_size) > 1 #this is my condition
I want to filter out rows where absDiff is greater than one
I tried doing this
filter(df,var2[absDiff)] but it didn't work

I know how to filter all with the condition
filter(df,abs(w_size - z_size) > 1)

but I want to filter only var2 and var3

UPDATE

df <- tibble(a= sample(1:100,1e6,replace=T),
             b= sample(1:100,1e6,replace=T),
             c= sample(1:100,1e6,replace=T),
             s= sample(1:100,1e6,replace=T),
             e= sample(1:100,1e6,replace=T),
             m= sample(1:100,1e6,replace=T),
             )


absCalc <-( df$a-df$c) >1

df %>% filter(df$s[absCalc]) 
%>%  filter(df$e[absCalc]) 

[andresrcs]

Hi!

To help us help you, could you please prepare a reproducible example (reprex) illustrating your issue? Please have a look at this guide, to see how to create one:

FAQ: How to do a minimal reproducible example ( reprex ) for beginners

A minimal reproducible example consists of the following items: A minimal dataset, necessary to reproduce the issue The minimal runnable code necessary to reproduce the issue, which can be run on the given dataset, and including the necessary information on the used packages. Let's quickly go over each one of these with examples: Minimal Dataset (Sample Data) You need to provide a data frame that is small enough to be (reasonably) pasted on a post, but big enough to reproduce your issue. Let's say, as an example, that you are working with the iris data frame head(iris) #> Sepal.Length Sepal.Width Petal.Length Petal.Width Species #> 1 5.1 3.5 1.4 0.…

[will99]

Hi,
I updated my code I couldn't post the original data but I tried to post something similar to the data

[Yarnabrina]

What you want is not possible.

As far as I understand, you want to filter some rows from only two columns. That's not possile as tibble (or data.frame) doesn't allow columns of different lengths.

If you are OK with only two columns, then you can use df %>% select(s, e) %>% filter(absCalc). Or, you'll have to filter all columns using filter(df, absCalc).