Creating a summary statistical table from a data frame

Question

I have the following data frame (df) of 29 observations of 5 variables:

    age   height_seca1 height_chad1 height_DL weight_alog1
1   19         1800                


        

Answer 1

Adding few more options for quick Exploratory Data Analysis (EDA)

1) skimr package:

install.packages("skimr")
library(skimr)
skim(df)

2) ExPanDaR package:

install.packages("ExPanDaR")
library(ExPanDaR)
# export data and code to a notebook
ExPanD(df, export_nb_option = TRUE)

# open a shiny app
ExPanD(df) 

3) DescTools package:

install.packages("DescTools")
library(DescTools)
Desc(df, plotit = TRUE)
#> ------------------------------------------------------------------------------ 
#> Describe df (data.frame):
#> 
#> data frame:  29 obs. of  5 variables
#>      29 complete cases (100.0%)
#> 
#>   Nr  ColName       Class    NAs  Levels
#>   1   age           integer  .          
#>   2   height_seca1  integer  .          
#>   3   height_chad1  integer  .          
#>   4   height_DL     integer  .          
#>   5   weight_alog1  integer  .          
#> 
#> 
#> ------------------------------------------------------------------------------ 
#> 1 - age (integer)
#> 
#>   length       n    NAs  unique     0s   mean  meanCI
#>       29      29      0       9      0  20.41   19.16
#>           100.0%   0.0%           0.0%          21.67
#>                                                      
#>      .05     .10    .25  median    .75    .90     .95
#>    18.00   18.00  19.00   19.00  21.00  26.00   27.20
#>                                                      
#>    range      sd  vcoef     mad    IQR   skew    kurt
#>    14.00    3.30   0.16    1.48   2.00   1.75    2.29
#>                                                      
#> 
#>    level  freq   perc  cumfreq  cumperc
#> 1     17     1   3.4%        1     3.4%
#> 2     18     6  20.7%        7    24.1%
#> 3     19    11  37.9%       18    62.1%
#> 4     20     1   3.4%       19    65.5%
#> 5     21     5  17.2%       24    82.8%
#> 6     22     1   3.4%       25    86.2%
#> 7     26     2   6.9%       27    93.1%
#> 8     28     1   3.4%       28    96.6%
#> 9     31     1   3.4%       29   100.0%
#> 
#> heap(?): remarkable frequency (37.9%) for the mode(s) (= 19)

Results from Desc can be saved to a Microsoft Word docx file

### RDCOMClient package is needed
install.packages("RDCOMClient", repos = "http://www.omegahat.net/R")
# or
devtools::install_github("omegahat/RDCOMClient")

# create a new word instance and insert title and contents
wrd <- GetNewWrd(header = TRUE)
DescTools::Desc(df, plotit = TRUE, wrd = wrd)

^{Created on 2020-01-17 by the reprex package (v0.3.0)}