Selection: Data for Meta-analysis

In abd: The Analysis of Biological Data

Description

Data for meta-analysis on the relationship between testosterone and aggression.

Usage

data(Selection)

Format

A data frame with 814 observations on the following 8 variables.

species

species investigated

traitname

trait investigated

strength.of.selection

strength of selection

sample.size

size of sample

authors

authors of publication

year

year of publication

journal

journal of publication

volume.pages

volume and pages

Source

Kingsolver, J.G., H.E. Hoekstra, J.M. Hoekstra, D. Berrigan, S.N. Vignieri, C.E. Hill, A. Hoang, P. Gibert, and P. Beerli. 2001. The strength of phenotypic selection in natural populations. The American Naturalist 157: 245-261.

Examples

data(Selection)
histogram(~strength.of.selection, Selection,n=40)
table(Selection$species) -> s
table(s)
s[s>10] # most common species
table(Selection$traitname) -> t
table(t)
t[t>10] # most common traits

Example output

Loading required package: nlme
Loading required package: lattice
Loading required package: grid
Loading required package: mosaic
Loading required package: dplyr

Attaching package: 'dplyr'

The following object is masked from 'package:nlme':

    collapse

The following objects are masked from 'package:stats':

    filter, lag

The following objects are masked from 'package:base':

    intersect, setdiff, setequal, union

Loading required package: ggformula
Loading required package: ggplot2
Loading required package: ggstance

Attaching package: 'ggstance'

The following objects are masked from 'package:ggplot2':

    GeomErrorbarh, geom_errorbarh


New to ggformula?  Try the tutorials: 
	learnr::run_tutorial("introduction", package = "ggformula")
	learnr::run_tutorial("refining", package = "ggformula")
Loading required package: mosaicData
Loading required package: Matrix

The 'mosaic' package masks several functions from core packages in order to add 
additional features.  The original behavior of these functions should not be affected by this.

Note: If you use the Matrix package, be sure to load it BEFORE loading mosaic.

Attaching package: 'mosaic'

The following object is masked from 'package:Matrix':

    mean

The following object is masked from 'package:ggplot2':

    stat

The following objects are masked from 'package:dplyr':

    count, do, tally

The following objects are masked from 'package:stats':

    IQR, binom.test, cor, cor.test, cov, fivenum, median, prop.test,
    quantile, sd, t.test, var

The following objects are masked from 'package:base':

    max, mean, min, prod, range, sample, sum

s
  1   2   3   4   5   6  11  12  17  18  19  22  23  24  25  28  30  31  38  41 
  5   2   6   9   3   3   2   3   2   1   1   1   1   1   1   1   2   2   1   1 
 43  59 164 
  1   1   1 

                 Aquarius remigis                 Asclepias syriaca 
                              164                                30 
            Bolitotherus cornutus          Chamaecrista fasciculata 
                               17                                28 
                  Collinsia verna                Cypripedium acaule 
                               23                                19 
                   Gammarus minus              Geospiza conirostris 
                               11                                41 
                  Geospiza fortis               Gerris odontogaster 
                               31                                25 
              Hetaerina americana                      Homo sapiens 
                               17                                12 
Ipomopsis aggregata and tenuituba                Libellula luctuosa 
                               18                                24 
               Lobelia cardinalis                 Melospiza melodia 
                               11                                12 
                 Mimulus guttatus                   Nerodia sipedon 
                               22                                59 
                      Parus major                  Plathhemis lydia 
                               31                                12 
              Pontia occidentalis               Pyrenestes ostrinus 
                               30                                43 
            Raphanus raphanistrum 
                               38 
t
 1  2  3  4  5  6  7  8 10 11 12 13 14 15 24 28 
43 25 27 32  3 18  6  2  3  7  6  2  1  4  1  1 

    abdomen length (multivariate)       abdomen length (univariate) 
                               11                                11 
                       beak depth                       beak length 
                               13                                13 
                        body size                DB (dors blotches) 
                               12                                15 
    genital length (multivariate)       genital length (univariate) 
                               11                                11 
               habitat preference                 LB (lat blotches) 
                               28                                15 
mesofemoral length (multivariate)   mesofemoral length (univariate) 
                               12                                12 
  profemoral width (multivariate)     profemoral width (univariate) 
                               12                                12 
             ROWS (ht of lat blot      thorax length (multivariate) 
                               15                                11 
       thorax length (univariate)             timing of germination 
                               11                                24 
   total body length (univariate)             VEXT extent of venter 
                               11                                15 
                           weight                       wing length 
                               12                                14 

abd documentation built on May 2, 2019, 4:46 p.m.