Measures the association between a continuous variable and some continuous and/or categorical variables

condesc(y, x, weights=rep(1,length(y)), min.cor=NULL,
robust=TRUE, nperm=NULL, distrib="asympt", dec=c(3,3,0,3))

## Arguments

y the continuous variable to describe a data frame with continuous and/or categorical variables an optional numeric vector of weights (by default, a vector of 1 for uniform weights) for the relationship between y and a categorical variable, only associations higher or equal to min.cor will be displayed. If NULL (default), they are all displayed. logical. If FALSE, mean and standard deviation are used instead of median and mad. Default is TRUE. numeric. Number of permutations for the permutation test of independence. If NULL (default), no permutation test is performed. the null distribution of permutation test of independence can be approximated by its asymptotic distribution ("asympt", default) or via Monte Carlo resampling ("approx"). vector of 4 integers for number of decimals. The first value if for association measures, the second for permutation p-values, the third for medians and mads, the fourth for point biserial correlations. Default is c(3,3,0,3).

## Value

A list of the following items :

variables

associations between y and the variables in x

categories

a data frame with categorical variables from x and associations measured by point biserial correlation

## References

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

## Author

Nicolas Robette

condes, catdesc, assoc.yx, darma

## Examples

data(Movies)
condesc(Movies$BoxOffice, Movies[,c("Budget","Genre","Country")]) #>$variables
#>   variable       measure association permutation.pvalue
#> 1    Genre          Eta2       0.173                 NA
#> 2  Country          Eta2       0.048                 NA
#> 3   Budget Kendall's tau       0.518                 NA
#>
#> \$categories
#> 9        Genre.SciFi           944784          138609        853626
#> 2    Genre.Animation           954956          138609        853018
#> 13       Country.USA           356692          138609        286508
#> 1       Genre.Action           291945          138609        247538
#> 10    Country.Europe           153755          138609        150015
#> 5       Genre.Comedy           230615          138609        210550
#> 3        Genre.Other           249037          138609        231954
#> 12     Country.Other            64893          138609         46042
#> 8       Genre.Horror           293118          138609        176131
#> 6  Genre.Documentary            13470          138609         12078
#> 4      Genre.ComDram            91380          138609         88602
#> 7        Genre.Drama            49219          138609         44946
#> 11    Country.France            77352          138609         78519
#> 9        137253  0.294
#> 2        137253  0.211
#> 13       137253  0.192
#> 1        137253  0.087
#> 10       137253  0.068
#> 5        137253  0.004
#> 3        137253 -0.005
#> 12       137253 -0.013
#> 8        137253 -0.015
#> 6        137253 -0.108
#> 4        137253 -0.114
#> 7        137253 -0.162
#> 11       137253 -0.211
#>