https://github.com/alexhallam/wodds
Sensible summary statistics for big data
https://github.com/alexhallam/wodds
Last synced: about 1 month ago
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Sensible summary statistics for big data
- Host: GitHub
- URL: https://github.com/alexhallam/wodds
- Owner: alexhallam
- License: other
- Created: 2022-04-05T12:33:59.000Z (over 3 years ago)
- Default Branch: master
- Last Pushed: 2022-05-27T21:22:32.000Z (over 3 years ago)
- Last Synced: 2025-08-23T18:09:15.613Z (about 2 months ago)
- Language: R
- Homepage:
- Size: 159 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.Rmd
- License: LICENSE
Awesome Lists containing this project
README
---
output: github_document
---
```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-",
out.width = "100%"
)
```
Whisker Odds (wodds)
sensible summary statistics for big data
The goal of `wodds` is to make the calculations of whisker odds (wodds) easy.
Wodds follow the same rules as letter-values, but with a different naming
system.
## Installation
You can install the development version of `wodds` from [GitHub](https://github.com) with:
``` r
# install.packages("devtools")
devtools::install_github("alexhallam/wodds")
```
## Example
This is a basic example which shows you how to solve a common problem:
```{r example 1}
options(digits=1)
library(wodds)
library(knitr)
set.seed(42)
a <- rnorm(n = 1e4, 0, 1)
df_wodds <- wodds::wodds(a)
df_wodds
```
Outliers beyond the last `wodd` are marked with `O` in ascending order. There should
rarely be more than 7 outliers when using `wodds`.
```{r example 1.1}
df_wodds_and_outs <- wodds::wodds(a, include_outliers = TRUE)
df_wodds_and_outs
```
Though not necessary it is possible to include tail area if additional communication or
teaching is needed. It is assumed that the `wodd` should be explanatory enough
to not need to rely on `tail_area`.
```{r example 1.2}
df_wodds_and_outs <- wodds::wodds(a, include_tail_area = TRUE)
df_wodds_and_outs
```
An example with all options set to `TRUE`.
```{r example 1.3}
df_wodds_and_outs <- wodds::wodds(a, include_depth = TRUE, include_tail_area = TRUE, include_outliers = TRUE)
df_wodds_and_outs
```
A `knitr::kable` example for publication.
```{r example 2}
knitr::kable(df_wodds_and_outs, align = 'c',digits = 3)
```
### Getting the depth
```{r example 3}
wodds::get_depth_from_n(n=15734L, alpha = 0.05)
```
### Getting the sample size
```{r example 4}
wodds::get_n_from_depth(d = 11L)
```
## Whisker Odds and Letter-Values
Letter-Values are a fantastic tool! I think the naming could be improved.
For this reason I introduce whisker odds (wodds) as an alternative naming system.
My hypothesis is that with an alternative naming system the use of these
descriptive statistics will be see more use. This is a rebranding of a what I
think is a powerful modern statistical tool.
