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README.md
In descriptr: Generate Descriptive Statistics
descriptr
Generate descriptive statistics
Installation
# Install release version from CRAN
install.packages("descriptr")
# Install development version from GitHub
# install.packages("devtools")
devtools::install_github("rsquaredacademy/descriptr")
Articles
Usage
We will use a modified version of the mtcars data set in the below
examples. The only difference between the data sets is related to the
variable types.
str(mtcarz)
#> 'data.frame': 32 obs. of 11 variables:
#> $ mpg : num 21 21 22.8 21.4 18.7 18.1 14.3 24.4 22.8 19.2 ...
#> $ cyl : Factor w/ 3 levels "4","6","8": 2 2 1 2 3 2 3 1 1 2 ...
#> $ disp: num 160 160 108 258 360 ...
#> $ hp : num 110 110 93 110 175 105 245 62 95 123 ...
#> $ drat: num 3.9 3.9 3.85 3.08 3.15 2.76 3.21 3.69 3.92 3.92 ...
#> $ wt : num 2.62 2.88 2.32 3.21 3.44 ...
#> $ qsec: num 16.5 17 18.6 19.4 17 ...
#> $ vs : Factor w/ 2 levels "0","1": 1 1 2 2 1 2 1 2 2 2 ...
#> $ am : Factor w/ 2 levels "0","1": 2 2 2 1 1 1 1 1 1 1 ...
#> $ gear: Factor w/ 3 levels "3","4","5": 2 2 2 1 1 1 1 2 2 2 ...
#> $ carb: Factor w/ 6 levels "1","2","3","4",..: 4 4 1 1 2 1 4 2 2 4 ...
Continuous Data
Summary Statistics
ds_summary_stats(mtcarz, mpg)
#> -------------------------------- Variable: mpg --------------------------------
#>
#> Univariate Analysis
#>
#> N 32.00 Variance 36.32
#> Missing 0.00 Std Deviation 6.03
#> Mean 20.09 Range 23.50
#> Median 19.20 Interquartile Range 7.38
#> Mode 10.40 Uncorrected SS 14042.31
#> Trimmed Mean 19.95 Corrected SS 1126.05
#> Skewness 0.67 Coeff Variation 30.00
#> Kurtosis -0.02 Std Error Mean 1.07
#>
#> Quantiles
#>
#> Quantile Value
#>
#> Max 33.90
#> 99% 33.44
#> 95% 31.30
#> 90% 30.09
#> Q3 22.80
#> Median 19.20
#> Q1 15.43
#> 10% 14.34
#> 5% 12.00
#> 1% 10.40
#> Min 10.40
#>
#> Extreme Values
#>
#> Low High
#>
#> Obs Value Obs Value
#> 15 10.4 20 33.9
#> 16 10.4 18 32.4
#> 24 13.3 19 30.4
#> 7 14.3 28 30.4
#> 17 14.7 26 27.3
Frequency Distribution
ds_freq_table(mtcarz, mpg)
#> Variable: mpg
#> |-----------------------------------------------------------------------|
#> | Bins | Frequency | Cum Frequency | Percent | Cum Percent |
#> |-----------------------------------------------------------------------|
#> | 10.4 - 15.1 | 6 | 6 | 18.75 | 18.75 |
#> |-----------------------------------------------------------------------|
#> | 15.1 - 19.8 | 12 | 18 | 37.5 | 56.25 |
#> |-----------------------------------------------------------------------|
#> | 19.8 - 24.5 | 8 | 26 | 25 | 81.25 |
#> |-----------------------------------------------------------------------|
#> | 24.5 - 29.2 | 2 | 28 | 6.25 | 87.5 |
#> |-----------------------------------------------------------------------|
#> | 29.2 - 33.9 | 4 | 32 | 12.5 | 100 |
#> |-----------------------------------------------------------------------|
#> | Total | 32 | - | 100.00 | - |
#> |-----------------------------------------------------------------------|
Categorical Data
One Way Table
ds_freq_table(mtcarz, cyl)
#> Variable: cyl
#> -----------------------------------------------------------------------
#> Levels Frequency Cum Frequency Percent Cum Percent
#> -----------------------------------------------------------------------
#> 4 11 11 34.38 34.38
#> -----------------------------------------------------------------------
#> 6 7 18 21.88 56.25
#> -----------------------------------------------------------------------
#> 8 14 32 43.75 100
#> -----------------------------------------------------------------------
#> Total 32 - 100.00 -
#> -----------------------------------------------------------------------
Two Way Table
ds_cross_table(mtcarz, cyl, gear)
#> Cell Contents
#> |---------------|
#> | Frequency |
#> | Percent |
#> | Row Pct |
#> | Col Pct |
#> |---------------|
#>
#> Total Observations: 32
#>
#> ----------------------------------------------------------------------------
#> | | gear |
#> ----------------------------------------------------------------------------
#> | cyl | 3 | 4 | 5 | Row Total |
#> ----------------------------------------------------------------------------
#> | 4 | 1 | 8 | 2 | 11 |
#> | | 0.031 | 0.25 | 0.062 | |
#> | | 0.09 | 0.73 | 0.18 | 0.34 |
#> | | 0.07 | 0.67 | 0.4 | |
#> ----------------------------------------------------------------------------
#> | 6 | 2 | 4 | 1 | 7 |
#> | | 0.062 | 0.125 | 0.031 | |
#> | | 0.29 | 0.57 | 0.14 | 0.22 |
#> | | 0.13 | 0.33 | 0.2 | |
#> ----------------------------------------------------------------------------
#> | 8 | 12 | 0 | 2 | 14 |
#> | | 0.375 | 0 | 0.062 | |
#> | | 0.86 | 0 | 0.14 | 0.44 |
#> | | 0.8 | 0 | 0.4 | |
#> ----------------------------------------------------------------------------
#> | Column Total | 15 | 12 | 5 | 32 |
#> | | 0.468 | 0.375 | 0.155 | |
#> ----------------------------------------------------------------------------
Group Summary
ds_group_summary(mtcarz, cyl, mpg)
#> mpg by cyl
#> -----------------------------------------------------------------------------------------
#> | Statistic/Levels| 4| 6| 8|
#> -----------------------------------------------------------------------------------------
#> | Obs| 11| 7| 14|
#> | Minimum| 21.4| 17.8| 10.4|
#> | Maximum| 33.9| 21.4| 19.2|
#> | Mean| 26.66| 19.74| 15.1|
#> | Median| 26| 19.7| 15.2|
#> | Mode| 22.8| 21| 10.4|
#> | Std. Deviation| 4.51| 1.45| 2.56|
#> | Variance| 20.34| 2.11| 6.55|
#> | Skewness| 0.35| -0.26| -0.46|
#> | Kurtosis| -1.43| -1.83| 0.33|
#> | Uncorrected SS| 8023.83| 2741.14| 3277.34|
#> | Corrected SS| 203.39| 12.68| 85.2|
#> | Coeff Variation| 16.91| 7.36| 16.95|
#> | Std. Error Mean| 1.36| 0.55| 0.68|
#> | Range| 12.5| 3.6| 8.8|
#> | Interquartile Range| 7.6| 2.35| 1.85|
#> -----------------------------------------------------------------------------------------
Multiple Variable Statistics
ds_tidy_stats(mtcarz, mpg, disp, hp)
#> # A tibble: 3 x 16
#> vars min max mean t_mean median mode range variance stdev skew
#> <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 disp 71.1 472 231. 228 196. 276. 401. 15361. 124. 0.420
#> 2 hp 52 335 147. 144. 123 110 283 4701. 68.6 0.799
#> 3 mpg 10.4 33.9 20.1 20.0 19.2 10.4 23.5 36.3 6.03 0.672
#> # ... with 5 more variables: kurtosis <dbl>, coeff_var <dbl>, q1 <dbl>,
#> # q3 <dbl>, iqrange <dbl>
Features
- Summary statistics
- Two way tables
- One way table
- Group wise summary
- Multiple variable statistics
- Multiple one way tables
- Multiple two way tables
Getting Help
If you encounter a bug, please file a minimal reproducible example using
reprex on github. For
questions and clarifications, use
StackOverflow.
Try the descriptr package in your browser
Any scripts or data that you put into this service are public.
descriptr documentation built on Dec. 15, 2020, 5:37 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
descriptr
Generate descriptive statistics
Installation
# Install release version from CRAN
install.packages("descriptr")
# Install development version from GitHub
# install.packages("devtools")
devtools::install_github("rsquaredacademy/descriptr")
Articles
Usage
We will use a modified version of the mtcars data set in the below
examples. The only difference between the data sets is related to the
variable types.
str(mtcarz)
#> 'data.frame': 32 obs. of 11 variables:
#> $ mpg : num 21 21 22.8 21.4 18.7 18.1 14.3 24.4 22.8 19.2 ...
#> $ cyl : Factor w/ 3 levels "4","6","8": 2 2 1 2 3 2 3 1 1 2 ...
#> $ disp: num 160 160 108 258 360 ...
#> $ hp : num 110 110 93 110 175 105 245 62 95 123 ...
#> $ drat: num 3.9 3.9 3.85 3.08 3.15 2.76 3.21 3.69 3.92 3.92 ...
#> $ wt : num 2.62 2.88 2.32 3.21 3.44 ...
#> $ qsec: num 16.5 17 18.6 19.4 17 ...
#> $ vs : Factor w/ 2 levels "0","1": 1 1 2 2 1 2 1 2 2 2 ...
#> $ am : Factor w/ 2 levels "0","1": 2 2 2 1 1 1 1 1 1 1 ...
#> $ gear: Factor w/ 3 levels "3","4","5": 2 2 2 1 1 1 1 2 2 2 ...
#> $ carb: Factor w/ 6 levels "1","2","3","4",..: 4 4 1 1 2 1 4 2 2 4 ...
Continuous Data
Summary Statistics
ds_summary_stats(mtcarz, mpg)
#> -------------------------------- Variable: mpg --------------------------------
#>
#> Univariate Analysis
#>
#> N 32.00 Variance 36.32
#> Missing 0.00 Std Deviation 6.03
#> Mean 20.09 Range 23.50
#> Median 19.20 Interquartile Range 7.38
#> Mode 10.40 Uncorrected SS 14042.31
#> Trimmed Mean 19.95 Corrected SS 1126.05
#> Skewness 0.67 Coeff Variation 30.00
#> Kurtosis -0.02 Std Error Mean 1.07
#>
#> Quantiles
#>
#> Quantile Value
#>
#> Max 33.90
#> 99% 33.44
#> 95% 31.30
#> 90% 30.09
#> Q3 22.80
#> Median 19.20
#> Q1 15.43
#> 10% 14.34
#> 5% 12.00
#> 1% 10.40
#> Min 10.40
#>
#> Extreme Values
#>
#> Low High
#>
#> Obs Value Obs Value
#> 15 10.4 20 33.9
#> 16 10.4 18 32.4
#> 24 13.3 19 30.4
#> 7 14.3 28 30.4
#> 17 14.7 26 27.3
Frequency Distribution
ds_freq_table(mtcarz, mpg)
#> Variable: mpg
#> |-----------------------------------------------------------------------|
#> | Bins | Frequency | Cum Frequency | Percent | Cum Percent |
#> |-----------------------------------------------------------------------|
#> | 10.4 - 15.1 | 6 | 6 | 18.75 | 18.75 |
#> |-----------------------------------------------------------------------|
#> | 15.1 - 19.8 | 12 | 18 | 37.5 | 56.25 |
#> |-----------------------------------------------------------------------|
#> | 19.8 - 24.5 | 8 | 26 | 25 | 81.25 |
#> |-----------------------------------------------------------------------|
#> | 24.5 - 29.2 | 2 | 28 | 6.25 | 87.5 |
#> |-----------------------------------------------------------------------|
#> | 29.2 - 33.9 | 4 | 32 | 12.5 | 100 |
#> |-----------------------------------------------------------------------|
#> | Total | 32 | - | 100.00 | - |
#> |-----------------------------------------------------------------------|
Categorical Data
One Way Table
ds_freq_table(mtcarz, cyl)
#> Variable: cyl
#> -----------------------------------------------------------------------
#> Levels Frequency Cum Frequency Percent Cum Percent
#> -----------------------------------------------------------------------
#> 4 11 11 34.38 34.38
#> -----------------------------------------------------------------------
#> 6 7 18 21.88 56.25
#> -----------------------------------------------------------------------
#> 8 14 32 43.75 100
#> -----------------------------------------------------------------------
#> Total 32 - 100.00 -
#> -----------------------------------------------------------------------
Two Way Table
ds_cross_table(mtcarz, cyl, gear)
#> Cell Contents
#> |---------------|
#> | Frequency |
#> | Percent |
#> | Row Pct |
#> | Col Pct |
#> |---------------|
#>
#> Total Observations: 32
#>
#> ----------------------------------------------------------------------------
#> | | gear |
#> ----------------------------------------------------------------------------
#> | cyl | 3 | 4 | 5 | Row Total |
#> ----------------------------------------------------------------------------
#> | 4 | 1 | 8 | 2 | 11 |
#> | | 0.031 | 0.25 | 0.062 | |
#> | | 0.09 | 0.73 | 0.18 | 0.34 |
#> | | 0.07 | 0.67 | 0.4 | |
#> ----------------------------------------------------------------------------
#> | 6 | 2 | 4 | 1 | 7 |
#> | | 0.062 | 0.125 | 0.031 | |
#> | | 0.29 | 0.57 | 0.14 | 0.22 |
#> | | 0.13 | 0.33 | 0.2 | |
#> ----------------------------------------------------------------------------
#> | 8 | 12 | 0 | 2 | 14 |
#> | | 0.375 | 0 | 0.062 | |
#> | | 0.86 | 0 | 0.14 | 0.44 |
#> | | 0.8 | 0 | 0.4 | |
#> ----------------------------------------------------------------------------
#> | Column Total | 15 | 12 | 5 | 32 |
#> | | 0.468 | 0.375 | 0.155 | |
#> ----------------------------------------------------------------------------
Group Summary
ds_group_summary(mtcarz, cyl, mpg)
#> mpg by cyl
#> -----------------------------------------------------------------------------------------
#> | Statistic/Levels| 4| 6| 8|
#> -----------------------------------------------------------------------------------------
#> | Obs| 11| 7| 14|
#> | Minimum| 21.4| 17.8| 10.4|
#> | Maximum| 33.9| 21.4| 19.2|
#> | Mean| 26.66| 19.74| 15.1|
#> | Median| 26| 19.7| 15.2|
#> | Mode| 22.8| 21| 10.4|
#> | Std. Deviation| 4.51| 1.45| 2.56|
#> | Variance| 20.34| 2.11| 6.55|
#> | Skewness| 0.35| -0.26| -0.46|
#> | Kurtosis| -1.43| -1.83| 0.33|
#> | Uncorrected SS| 8023.83| 2741.14| 3277.34|
#> | Corrected SS| 203.39| 12.68| 85.2|
#> | Coeff Variation| 16.91| 7.36| 16.95|
#> | Std. Error Mean| 1.36| 0.55| 0.68|
#> | Range| 12.5| 3.6| 8.8|
#> | Interquartile Range| 7.6| 2.35| 1.85|
#> -----------------------------------------------------------------------------------------
Multiple Variable Statistics
ds_tidy_stats(mtcarz, mpg, disp, hp)
#> # A tibble: 3 x 16
#> vars min max mean t_mean median mode range variance stdev skew
#> <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 disp 71.1 472 231. 228 196. 276. 401. 15361. 124. 0.420
#> 2 hp 52 335 147. 144. 123 110 283 4701. 68.6 0.799
#> 3 mpg 10.4 33.9 20.1 20.0 19.2 10.4 23.5 36.3 6.03 0.672
#> # ... with 5 more variables: kurtosis <dbl>, coeff_var <dbl>, q1 <dbl>,
#> # q3 <dbl>, iqrange <dbl>
Features
- Summary statistics
- Two way tables
- One way table
- Group wise summary
- Multiple variable statistics
- Multiple one way tables
- Multiple two way tables
Getting Help
If you encounter a bug, please file a minimal reproducible example using reprex on github. For questions and clarifications, use StackOverflow.
Try the descriptr package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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