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Summary statistics in R

· 2 min read
Jiaxin PENG
Jiaxin PENG

This post would like to introduce how to do an exploratory data analysis in R.

In the beginning, we need to load the data and install the necessary packages.

Then, we can use the variable mtcars as an example to show the summary statistics.

# Summary statistics
summary(mtcars)
      mpg             cyl             disp             hp       
 Min.   :10.40   Min.   :4.000   Min.   : 71.1   Min.   : 52.0  
 1st Qu.:15.43   1st Qu.:4.000   1st Qu.:120.8   1st Qu.: 96.5  
 Median :19.20   Median :6.000   Median :196.3   Median :123.0  
 Mean   :20.09   Mean   :6.188   Mean   :230.7   Mean   :146.7  
 3rd Qu.:22.80   3rd Qu.:8.000   3rd Qu.:326.0   3rd Qu.:180.0  
 Max.   :33.90   Max.   :8.000   Max.   :472.0   Max.   :335.0  
      drat             wt             qsec             vs        
 Min.   :2.760   Min.   :1.513   Min.   :14.50   Min.   :0.0000  
 1st Qu.:3.080   1st Qu.:2.581   1st Qu.:16.89   1st Qu.:0.0000  
 Median :3.695   Median :3.325   Median :17.71   Median :0.0000  
 Mean   :3.597   Mean   :3.217   Mean   :17.85   Mean   :0.4375  
 3rd Qu.:3.920   3rd Qu.:3.610   3rd Qu.:18.90   3rd Qu.:1.0000  
 Max.   :4.930   Max.   :5.424   Max.   :22.90   Max.   :1.0000  
       am              gear            carb      
 Min.   :0.0000   Min.   :3.000   Min.   :1.000  
 1st Qu.:0.0000   1st Qu.:3.000   1st Qu.:2.000  
 Median :0.0000   Median :4.000   Median :2.000  
 Mean   :0.4062   Mean   :3.688   Mean   :2.812  
 3rd Qu.:1.0000   3rd Qu.:4.000   3rd Qu.:4.000  
 Max.   :1.0000   Max.   :5.000   Max.   :8.000

We can also use another package doBy to show the summary statistics.

library(doBy)

Quarto Example

· One min read
Jiaxin PENG
Jiaxin PENG

Zhou (2018) use the data from Zhou (2018) to show that…

hello.py
print(1 + 1)
2
hello.R
a <- 1
b <- 2
a + b
[1] 3

Docusaurus GREEN and Rams blue are my favorite colors.

I can write Markdown alongside my JSX!

References​

Zhou, Guofu. 2018. “Measuring Investor Sentiment.” Annual Review of Financial Economics 10 (1): 239-59. https://doi.org/10.1146/annurev-financial-110217-022725.