Selecting a subset of rows that meet a TRUE condition

Question

I have a dataframe df . I want to plot two variables, a and t , against each other, but using only certain rows. The rows I want to use must meet three conditions:

1. A third variable, s , must be >= 0.9
2. The third variable s must also be <=1.1
3. I only want the rows that have met the condition of having no NAs/missing values for a , t , and s .

I have created a logical vector that returns values of TRUE and FALSE to meet this third condition, but I don't know how to work this into my code.

Here is my code so far, which I believe produces the desired result with the exception of the third condition:

plot(log(df$t)[df$s >= .9 & df$s <= 1.1],log(df$a)[df$s >= .9 & df$s <= 1.1]) 

What can I add to it to satisfy the third condition?

Answer 1

library(ggplot2)
p <- ggplot(data=df[df$s >= 0.9 & df$s <= 1.1 & !is.na(df$a) & !is.na(df$s) & !is.na(df$t),])
p + geom_point(aes(x = t, y = a))