https://github.com/jennybc/foofactors

Make Factors Less Aggravating
https://github.com/jennybc/foofactors

Last synced: about 2 months ago
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Make Factors Less Aggravating

• Host: GitHub
• URL: https://github.com/jennybc/foofactors
• Owner: jennybc
• License: other
• Created: 2019-09-10T03:47:22.000Z (about 5 years ago)
• Default Branch: master
• Last Pushed: 2020-08-16T00:52:54.000Z (about 4 years ago)
• Last Synced: 2024-06-11T23:36:30.925Z (3 months ago)
• Language: R
• Size: 6.84 KB
• Stars: 28
• Watchers: 4
• Forks: 8
• Open Issues: 0
• Metadata Files:
  • Readme: README.Rmd
  • License: LICENSE

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README

        
---

output: github_document

---

```{r, include = FALSE}

knitr::opts_chunk$set(

  collapse = TRUE,

  comment = "#>",

  fig.path = "man/figures/README-",

  out.width = "100%"

)

```

**NOTE: This is a toy package created for expository purposes, for the second edition of [R Packages](https://r-pkgs.org). It is not meant to actually be useful. If you want a package for factor handling, please see [forcats](https://forcats.tidyverse.org).**

# foofactors    

Factors are a very useful type of variable in R, but they can also be very aggravating. This package provides some helper functions for the care and feeding of factors.

## Installation

You can install foofactors like so:

``` r

devtools::install_github("jennybc/foofactors")

```

  

## Quick demo

Binding two factors via `fbind()`:

```{r}

library(foofactors)

a <- factor(c("character", "hits", "your", "eyeballs"))

b <- factor(c("but", "integer", "where it", "counts"))

```

Simply catenating two factors leads to a result that most don't expect.

```{r}

c(a, b)

```

The `fbind()` function glues two factors together and returns factor.

```{r}

fbind(a, b)

```

Often we want a table of frequencies for the levels of a factor. The base `table()` function returns an object of class `table`, which can be inconvenient for downstream work.

```{r}

set.seed(1234)

x <- factor(sample(letters[1:5], size = 100, replace = TRUE))

table(x)

```

The `fcount()` function returns a frequency table as a tibble with a column of factor levels and another of frequencies:

```{r}

fcount(x)

```