Datasets for loo examples and vignettes

Source: R/datasets.R

Small datasets for use in loo examples and vignettes. The Kline and milk datasets are also included in the rethinking package (McElreath, 2016a), but we include them here as rethinking is not on CRAN.

Details

Currently the data sets included are:

  • Kline: Small dataset from Kline and Boyd (2010) on tool complexity and demography in Oceanic islands societies. This data is discussed in detail in McElreath (2016a,2016b). (Link to variable descriptions)

  • milk: Small dataset from Hinde and Milligan (2011) on primate milk composition.This data is discussed in detail in McElreath (2016a,2016b). (Link to variable descriptions)

  • voice: Voice rehabilitation data from Tsanas et al. (2014).

References

Hinde and Milligan. 2011. Evolutionary Anthropology 20:9-23.

Kline, M.A. and R. Boyd. 2010. Proc R Soc B 277:2559-2564.

McElreath, R. (2016a). rethinking: Statistical Rethinking book package. R package version 1.59.

McElreath, R. (2016b). Statistical rethinking: A Bayesian course with examples in R and Stan. Chapman & Hall/CRC.

A. Tsanas, M.A. Little, C. Fox, L.O. Ramig: Objective automatic assessment of rehabilitative speech treatment in Parkinson's disease, IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol. 22, pp. 181-190, January 2014

Examples

str(Kline)
#> 'data.frame':	10 obs. of  5 variables:
#>  $ culture    : Factor w/ 10 levels "Chuuk","Hawaii",..: 4 7 6 10 3 9 1 5 8 2
#>  $ population : int  1100 1500 3600 4791 7400 8000 9200 13000 17500 275000
#>  $ contact    : Factor w/ 2 levels "high","low": 2 2 2 1 1 1 1 2 1 2
#>  $ total_tools: int  13 22 24 43 33 19 40 28 55 71
#>  $ mean_TU    : num  3.2 4.7 4 5 5 4 3.8 6.6 5.4 6.6
str(milk)
#> 'data.frame':	29 obs. of  8 variables:
#>  $ clade         : Factor w/ 4 levels "Ape","New World Monkey",..: 4 4 4 4 4 2 2 2 2 2 ...
#>  $ species       : Factor w/ 29 levels "A palliata","Alouatta seniculus",..: 11 8 9 10 16 2 1 6 28 27 ...
#>  $ kcal.per.g    : num  0.49 0.51 0.46 0.48 0.6 0.47 0.56 0.89 0.91 0.92 ...
#>  $ perc.fat      : num  16.6 19.3 14.1 14.9 27.3 ...
#>  $ perc.protein  : num  15.4 16.9 16.9 13.2 19.5 ...
#>  $ perc.lactose  : num  68 63.8 69 71.9 53.2 ...
#>  $ mass          : num  1.95 2.09 2.51 1.62 2.19 5.25 5.37 2.51 0.71 0.68 ...
#>  $ neocortex.perc: num  55.2 NA NA NA NA ...