WebJun 29, 2016 · Include this everywhere your filter variable might have NAs you don't want counted. – dez93_2000. Nov 10, 2024 at 21:20. 2. Or easier: drop_na(value_type) %>% at the top of the pipechain. – dez93_2000. Nov 10, 2024 at 21:32. Add a comment 1 You can do this with two summary steps: WebJan 9, 2016 · I'm guessing you might have another package loaded that's overloading filter. Try stats::filter. – Tyler Rinker. Jan 9, 2016 at 2:53. That fixed it! Thank you so much! – LTS. Jan 9, 2016 at 2:55. 2. A likely culprit: dplyr::filter masks stats::filter if dplyr is loaded. Thus the messages when it loads.
r - OR operator in filter()? - Stack Overflow
WebIn R, we can use the dplyr package for pivot tables by using 2 functions group_by and summarize together with the pipe operator %>%. We will also continue to emphasize reproducibility in all our analyses. Discuss pivot … WebSep 22, 2024 · In this case your function takes expressions that can refer to the columns: mtcars %>% filter_function (cyl, 6) Your users can still pass strings by using the .data pronoun: var <- "cyl" mtcars %>% filter_function (.data [ [var]], 6) And it is fully flexible, e.g. you can pass an expression that combines multiple columns: mtcars %>% filter ... nist electron cross section
Filtering a list in a data frame - tidyverse - RStudio Community
WebMay 30, 2016 · Sorry for the confusion, but the first two lines just set up some fake data, so that you can see the effect of using or & in the filtering statement. The filter statement will work no matter how many records there are, but since you hadn't provided data, I made some up to test the two different filter statements. – WebJan 25, 2024 · Method 1: Using filter () directly For this simply the conditions to check upon are passed to the filter function, this function automatically checks the dataframe and … Webfilter_all (all_vars (.>100) # filters all rows, that contain >100 counts, In my case, only genus "d" is preserved, everything else is discarded, also genus "c" although here Kit3 shows 310 counts. if I use filter_all (any_vars (.>100) # nothing happens, although for my understanding this would be the correct command nurse leadership management course