Filter a dataframe by column, depending on the value of another column

I would like to filter something similar to the following dataframe:

A    B    C    D    E
1    0    0.2  2    5
1    0    0.5  5    0
1    7    0.3  4    4
0    2    20   2    2
1    0    0.9  2    1
0    7    17   4    2

How can I remove those rows with values <0.3 for column C if A==1 and those rows with values <20 for column C if A==0?

This would be my expected output:

A    B    C    D    E
1    0    0.5  5    0
1    7    0.3  4    4
0    2    20   2    2
1    0    0.9  2    1

I’ve tryed:

library(dplyr)
test<-df %>% {if (A == '1') filter(.,C < 0.3) else filter(.,C < 20)}

But I am not achieving the expected results.

Thanks!

>Solution :

You were close,

& stands for and
| stands for or

library(dplyr)

test <- df %>% filter(!(A==1 & C < 0.3 | A==0 & C < 20))