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mStats

mStats provides an opinionated set of R wrapper functions for data analysis and manipulation, covering a range of tasks from data exploration and transformation to regression modeling and statistical summaries. It serves as my personal collection of functions developed based on my own preferences and experiences, tailored to meet my specific needs in various projects.

As an evolving package, I continuously add new functions to mStats to adapt to my evolving needs and preferences. This highly opinionated package reflects my unique perspective and incorporates the solutions I have found valuable in my data analysis workflows.

By using mStats, users can benefit from my expertise and the convenience of having a centralized set of functions designed to address common data manipulation, analysis, and visualization tasks. This personalized approach ensures efficiency and consistency across projects, as the package encompasses the techniques I prefer.

I believe that mStats makes a valuable contribution to the R community by offering insights and potential solutions derived from my own experiences. It showcases the power of customization and demonstrates how individual preferences can shape the development of tools to enhance data analysis workflows.

Installation

Install from CRAN with :

Or install the development version from GitHub :

# install.packages("devtools")
devtools::install_github("myominnoo/mStats")

Usage

Below is a quick demonstration of what mStats can do.

library(mStats)
#> 
#> Attaching package: 'mStats'
#> The following objects are masked from 'package:base':
#> 
#>     append, cut

codebook: check an overview of the data 

codebook(mtcars)
#> $ Codebook
#>   dataset: mtcars
#>   Row: 32
#>   Col: 11
#>    name type  miss complete unique label
#> 1  mpg  <dbl> 0    1.00     25          
#> 2  cyl  <dbl> 0    1.00      3          
#> 3  disp <dbl> 0    1.00     27          
#> 4  hp   <dbl> 0    1.00     22          
#> 5  drat <dbl> 0    1.00     22          
#> 6  wt   <dbl> 0    1.00     29          
#> 7  qsec <dbl> 0    1.00     30          
#> 8  vs   <dbl> 0    1.00      2          
#> 9  am   <dbl> 0    1.00      2          
#> 10 gear <dbl> 0    1.00      3          
#> 11 carb <dbl> 0    1.00      6

cut