使用 2 列和 R 中的条件子集数据框

Question

I have a dataframe like this:

ID <- c("A","B","C","D","E","F","G","H","I")
Measurement <- c('Length',NA,NA,NA,'Length','Length',NA,NA,'Length')
PT <- c(27,35,38,22,35,39,7,15,33)
df <- data.frame(ID,Measurement,PT)
Limit <- 25

I am trying to subset this dataframe using the limit as the condition so that I exclude any data that has a ("PT" value > limit AND Measuremnent = NA).

Note: However I still want to include any data that has PT > Limit but with a Measurement type in it. In this case, its the length.

I am trying to do it this way but I get an error

df3 <- !subset(df3,df3$PT >= Limit & df3$Measurement == '')

My desired Output is

  ID Measurement PT
1  A      Length 27
2  D        <NA> 22
3  E      Length 35
4  F      Length 39
5  G        <NA>  7
6  H        <NA> 15
7  I      Length 33

I know this is pretty simple but I missing the logic somewhere. Could someone point me in the right direction?

Answer 1

We can also do

df[with(df, !(PT> Limit & is.na(Measurement))),]
#  ID Measurement PT
#1  A      Length 27
#4  D        <NA> 22
#5  E      Length 35
#6  F      Length 39
#7  G        <NA>  7
#8  H        <NA> 15
#9  I      Length 33

---

Or using dplyr

library(dplyr)
df %>%
   filter(!(PT > Limit & is.na(Measurement)))