Set Up

library(reticulate) # to use python in RStudio
library(tidyverse) # data wrangling and plotting with R

In this note, R code chunks are in light pink, while python in light blue. I keep it mainly as a study note, but hopefully it might be of interest to fellow R users learning Python, and Python users learning R.

if & else if

  • R: code blocks are denoted by curly brackets {}
  • Python: code blocks are denoted by indentations (4 spaces)
val=2

if (val==1) {
  print("doe a dear")
} else if (val==2) {
  print("ray a drop of golden sun") 
} else {
  print("sound of music")
}
## [1] "ray a drop of golden sun"
val=1

if val==1:
    print("doe a dear")
elif val==2:
    print("ray a drop of of golden sun")
else:
    print("sound of music")
    
## doe a dear

for loops

num_val=c(1:4)

for (value in num_val) {
  print(value*2)
}
## [1] 2
## [1] 4
## [1] 6
## [1] 8

num_val=[1,2,3,4]

for value in num_val:
    print(value*2)
  
## 2
## 4
## 6
## 8

(For more on loops in python, including for and while loops, please refer to this note)

Combining loop and if/then


num_scores = [5,7,2,3,9,5,4,2,0,1,7]

for scores in num_scores:
    if scores >5:
        print("Top goalscorers")
    else:
        print("Players")

## Players
## Top goalscorers
## Players
## Players
## Top goalscorers
## Players
## Players
## Players
## Players
## Players
## Top goalscorers

Create List and Dictionary with for loops

Create a List


list = [1,2,3,4,5,6]

square_list = [x**2 for x in list]

square_list
## [1, 4, 9, 16, 25, 36]
vector <- c(1:6)

square_vector <- vector^2

square_vector
## [1]  1  4  9 16 25 36

Create a Dictionary


d = {x:x**2 for x in list}
d
## {1: 1, 2: 4, 3: 9, 4: 16, 5: 25, 6: 36}