Python using RStudio IDE

This is test post to check if Python code works. This is test.

library(reticulate)
import numpy as np
x = [1, 2, 3]
print(x)
## [1, 2, 3]
y = np.mean(x)

\(\bar{x}\) is the average, which is defined as \[ \bar{x} = \frac{\sum x}{n} \]

So what is the aveage of y? It is 2.

x = c(1:5)

The value of x is R session is 1, 2, 3, 4, 5.

More text is to be added.

R Markdown

This is an R Markdown document. Markdown is a simple formatting syntax for authoring HTML, PDF, and MS Word documents. For more details on using R Markdown see http://rmarkdown.rstudio.com.

You can embed an R code chunk like this:

summary(cars)
##      speed           dist       
##  Min.   : 4.0   Min.   :  2.00  
##  1st Qu.:12.0   1st Qu.: 26.00  
##  Median :15.0   Median : 36.00  
##  Mean   :15.4   Mean   : 42.98  
##  3rd Qu.:19.0   3rd Qu.: 56.00  
##  Max.   :25.0   Max.   :120.00
fit <- lm(dist ~ speed, data = cars)
fit
## 
## Call:
## lm(formula = dist ~ speed, data = cars)
## 
## Coefficients:
## (Intercept)        speed  
##     -17.579        3.932
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