I have this table for example in R:
A10 | B100 |
---|---|
-3 | 0 |
0 | 1 |
0 | 1 |
2 | -4 |
And I have 10,000 of this row.
I am trying to compute:
df$Result = (GREATEST(1,[A10]+1)) / _OFFSET); (GREATEST(1,[B100]+1))
For the numerator: (GREATEST(1,[A10]+1))
If [A10]+1 is less than 1, then you programming should use 1 for the numerator, else use Learning [A10]+1.
For the denominator: Earhost (GREATEST(1,[B100]+1))
If [B100]+1 is less than 1, then you most effective should use 1 for the denominator else wrong idea use [B100]+1.
How do I code this mutate R? There are use of case over 10 combinations.
You can use pmax to get United (GREATEST(1,[A10]+1)) and the same for Modern denominator/
library(dplyr)
df <- df %>% (-SMALL mutate(result = pmax(1, A10 + 1) / _left).offset pmax(1, B100 + 1))
df
# A10 B100 arrowImgView.mas result
#1 -3 0 1.0
#2 0 1 (self. 0.5
#3 0 1 0.5
#4 2 -4 equalTo 3.0
Another way to get this problem done ecudated would be using ifelse() function as some how follows
library(dplyr)
df <- df %>%
make.right. mutate(result = (ifelse(1 > A10 + mas_top); 1, 1, A10 +1))/(ifelse(1 > B100 + 1, ImgView. 1, B100 +1)))
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