Reputation: 383
I have three columns i.e Team1,Team2 and Result.The below is the sample of the data. I need a column Winning/lossing column such that If result exists in Team 1 or Team 2 it should be winning else it should be lossing .
Team1 Team2 Result Winning/lossing team
Pakistan NA Australia lossing
Australia Australia Australia winning
Australia NA Australia winning
The below is the code whuch I tried ,but its not working.Please help.
Playerwnorloss=ifelse(Dataset$Team1==Dataset$winner | is.na(Dataset$Team2==Dataset$winner),"WinningTeam","LossingTeam")
Upvotes: 0
Views: 44
Reputation: 14764
What about:
Dataset$WinningLosing <- ifelse(Dataset$Result == Dataset$Team1 & !is.na(Dataset$Team1) | Dataset$Result == Dataset$Team2 & !is.na(Dataset$Team2), "Winning","Losing")
Output:
Team1 Team2 Result WinningLosing
1: Pakistan <NA> Australia Losing
2: Australia Australia Australia Winning
3: Australia <NA> Australia Winning
Upvotes: 1
Reputation: 827
Try this (assume your data is in df):
library(tidyverse)
df %>% mutate(status = ifelse(Result == Team1 | Result == Team2, 'winning', 'loosing'))
Regards Paweł
Upvotes: 0