# assoc.catcont: Measures the association between a categorical variable and a... In GDAtools: A Toolbox for Geometric Data Analysis and More

 assoc.catcont R Documentation

## Measures the association between a categorical variable and a continuous variable

### Description

Measures the association between a categorical variable and a continuous variable

### Usage

```assoc.catcont(x,y,weights=rep(1,length(x)),
nperm=NULL,distrib="asympt",digits=3)
```

### Arguments

 `x` the categorical variable (must be a factor) `y` the continuous variable (must be a numeric vector) `weights` an optional numeric vector of weights (by default, a vector of 1 for uniform weights) `nperm` numeric. Number of permutations for the permutation test of independence. If NULL (default), no permutation test is performed. `distrib` the null distribution of permutation test of independence can be approximated by its asymptotic distribution (`"asympt"`, default) or via Monte Carlo resampling (`"approx"`. `digits` integer. The number of digits (default is 3).

### Value

A list with the following elements :

 `eta.squared` eta-squared between the two variables `permutation.pvalue` p-value from a permutation (so non-parametric) test of independence `cor` point biserial correlation between the two variables, for each level of the categorical variable `cor.perm.pval` permutation p-value of the correlation between the two variables, for each level of the categorical variable

Nicolas Robette

### References

Rakotomalala R., 'Comprendre la taille d'effet (effect size)', [http://eric.univ-lyon2.fr/~ricco/cours/slides/effect_size.pdf]

`assoc.twocat`, `assoc.twocont`, `assoc.yx`, `condesc`, `catdesc`, `darma`, `ggassoc_boxplot`

### Examples

```## Annette Dobson (1990) "An Introduction to Generalized Linear Models".
## Page 9: Plant Weight Data.
ctl <- c(4.17,5.58,5.18,6.11,4.50,4.61,5.17,4.53,5.33,5.14)
trt <- c(4.81,4.17,4.41,3.59,5.87,3.83,6.03,4.89,4.32,4.69)
group <- gl(2, 10, 20, labels = c("Ctl","Trt"))
weight <- c(ctl, trt)
assoc.catcont(group,weight,nperm=100)
```

GDAtools documentation built on March 18, 2022, 5:13 p.m.