Trying to install rpy2 modules on terminal and there is no action.

Trying to directly install rpy2 on cell

!pip install rpy2
%load_ext rpy2.ipython
%%R -i data 
data <- list('0.47', '-0.36', '-0.5', '0.2', '0.35', '1.82', 
             '-0.78', '-0.91', '0.36', '-1.74', '0.24', '0.76', 
             '0.57', '2.32', '1.55', '-1.31', '-0.09', '-0.02', 
             '-0.07', '-0.19', '-0.25', 
             '-1.09', '0.64', '1.22', '-0.56', '1.76', '0.13', 
             '1.33', '-0.74', '-1.15', '1.63', '1.04', '-0.26', 
             '0.02', '-1.2', '0.37', '0.43', '0.04', '1.34', 
             '0.57', '0.76', '-1.25', '-0.05', '0.12', '0.8', 
             '-0.99', '-0.11', '-0.54', '-0.08', '-0.04', '-0.76', 
             '-0.8', '0.35', '1.54', '-0.99', '-0.35', '-0.28', '0.45', 
             '-0.04', '-0.06', '0.02', '0.58', '-0.32', '-0.1', '0.28', 
             '0.3', '-0.36', '0.81', '0.79', '0.21', '1.81', '0.19', '0.84', 
             '0.2', '-0.06', '-0.11', '-1.4', '-2.08', '0.88', '-0.14',
             '-0.96', '1.3', '0.06', '-0.37', '1.49', '-0.91', 
             '1.14', '-1.05', '1.49', '-0.79', '2.02', '0.38', '2.4', '1.25', 
             '0.5', '1.11', '-0.54', '-0.1', '0.63', '1.01')
num <- as.numeric(unlist(data))
shapiro.test(num)
shapiro.test

The results show

 File "<ipython-input-3-0be657748cce>", line 20
    num <- as.numeric(unlist(data))
           ^
SyntaxError: invalid syntax

It still doesn't work

I just wanna the R code to be attached on my Jupyter notebook.

data <- list('0.47', '-0.36', '-0.5', '0.2', '0.35', '1.82', 
             '-0.78', '-0.91', '0.36', '-1.74', '0.24', '0.76', 
             '0.57', '2.32', '1.55', '-1.31', '-0.09', '-0.02', 
             '-0.07', '-0.19', '-0.25', 
             '-1.09', '0.64', '1.22', '-0.56', '1.76', '0.13', 
             '1.33', '-0.74', '-1.15', '1.63', '1.04', '-0.26', 
             '0.02', '-1.2', '0.37', '0.43', '0.04', '1.34', 
             '0.57', '0.76', '-1.25', '-0.05', '0.12', '0.8', 
             '-0.99', '-0.11', '-0.54', '-0.08', '-0.04', '-0.76', 
             '-0.8', '0.35', '1.54', '-0.99', '-0.35', '-0.28', '0.45', 
             '-0.04', '-0.06', '0.02', '0.58', '-0.32', '-0.1', '0.28', 
             '0.3', '-0.36', '0.81', '0.79', '0.21', '1.81', '0.19', '0.84', 
             '0.2', '-0.06', '-0.11', '-1.4', '-2.08', '0.88', '-0.14',
             '-0.96', '1.3', '0.06', '-0.37', '1.49', '-0.91', 
             '1.14', '-1.05', '1.49', '-0.79', '2.02', '0.38', '2.4', '1.25', 
             '0.5', '1.11', '-0.54', '-0.1', '0.63', '1.01')
num <- as.numeric(unlist(data))
shapiro.test(num)
shapiro.test

CodePudding user response：

Your example is showing just R code without any python functions used.

Option 1 (easy, without jupyter and python)

If you really do not need Jupyter and python, you can just create documents with R code cells and text in between using RMarkdon inside RStudio.

Option 2 (hard, with jupyter and python)

1. install R and python
2. install Jupyter
3. install rpy2 using ! pip install rpy2 inside a jupyter cell
4. Run R code within the notebook:

import rpy2
%load_ext rpy2.ipython
%%R -o data 
data <- list(1,2,3)

Option 3 (medium, with jupyter using just R without python)

1. install jupyter
2. install