Chapter 10 If block

When creating a new column we may want the values of the column to be different depending on some condition. We can do this with an if block.

## We will be creating a player type variabe that shows they are "bad" if batting average < 0.25, good if below 0.75 and great if greater than or equal to 0.75
# Create for loop to look at each player separatly
for(i in 1:nrow(hits_data_frame)){
  
  
  ## isolate player
  player_average <- hits_data_frame$batting_average[i]
  
  
  ## bad condition 
  if(player_average < 0.25){
    
    ## Assign new bad value to new variable
    hits_data_frame$player_type[i] <- "bad" 
    
  }
  
  ## Assign new good value to new variable
  if(player_average >= 0.25 &  player_average<0.75){
    
      hits_data_frame$player_type[i] <- "good" 
  }
  
  ## Assign great value to new value
    if(player_average>=0.75){
    
      hits_data_frame$player_type[i] <- "great" 
  }
  
  
  
  
}
hits_data_frame

##    PlayerID Hits AtBats batting_average outs player_type
## 1  Player01    3      4            0.75    1       great
## 2  Player02    1      4            0.25    3        good
## 3  Player03    0      3            0.00    3         bad
## 4 PlayerNew    2      5            0.40    3        good
## 5  Player05    4      4            1.00    0       great

you can use the table function to see how many of each type of player you have.

table(hits_data_frame$player_type)

## 
##   bad  good great 
##     1     2     2

10.0.1 Challenge

Create a “team” variable with a while loop or for loop to look at each players “player_type”. If they “player_type” is great, then assign them to the “Cardinals”. If the player type is good, then send them to the “Twins”. If a “player_type” is bad then assign them to the “Dodgers”