**NOTE: This is just a toy package. Made by following the book: ```
R
Packages
```

from Hadley Wickham.

Contains two functions for working with factors.

```
devtools::install_github("FreekManders/foofactors", build_vignettes = TRUE)
```

```
library(Freekfoofactors)
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 donâ€™t expect.

```
c(a, b)
#> [1] 1 3 4 2 1 3 4 2
```

The `fbind()`

function glues two factors together and returns factor.

```
fbind(a, b)
#> [1] character hits your eyeballs but integer where it counts
#> Levels: but character counts eyeballs hits integer where it your
```

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.

```
set.seed(1234)
x <- factor(sample(letters[1:5], size = 100, replace = TRUE))
table(x)
#> x
#> a b c d e
#> 25 26 17 17 15
```

The `fcount()`

function returns a frequency table as a tibble with a
column of factor levels and another of frequencies:

```
fcount(x)
#> # A tibble: 5 x 2
#> f n
#> <fct> <int>
#> 1 b 26
#> 2 a 25
#> 3 c 17
#> 4 d 17
#> 5 e 15
```

FreekManders/Freekfoofactors documentation built on April 7, 2020, 12:47 a.m.

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