R: Sperm Precedence Data from the Rough-Skinned Newt
newt
R Documentation
Sperm Precedence Data from the Rough-Skinned Newt
Description
Offspring counts from two clutches and proportional paternity by mating order for a breeding experiment of the rough-skinned newt conducted by Jones et al., (2002)
Usage
data(newt)
Format
A data frame with 10 observations on the following 10 variables.
Female
a numeric code to identify females.
No_1st_Clutch
total offspring in the first clutch.
P2_1
proportional paternity of the second male for the first clutch.
No_2nd_Male_1st_Clutch
total offspring sired by the second male from the first clutch.
No_2nd_Clutch
total offspring in the second clutch.
P2_2
proportional paternity of the second male for the second clutch.
No_2nd_Male_2nd_Clutch
total offspring sired by the second male from the second clutch.
Total_2nd_Male
total offspring sired by the second male from both clutches.
Total_Offspring
total offspring for both clutches.
Total_P2
total overall proportional paternity of the second male for both clutches.
Source
A. G. Jones, E. M. Adams, and S. J. Arnold (2002) A mechanism of first-male precedence in a vertebrate. Proceedings of the National Academy of Sciences of the United States of America99, 2078-2081.
Examples
#Fit newt data to the Poisson distribution and test goodness of fit.
data(newt)
fit_dist_pois(newt$Total_Offspring)
Results
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)
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> library(ABCp2)
Loading required package: MASS
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/ABCp2/newt.Rd_%03d_medium.png", width=480, height=480)
> ### Name: newt
> ### Title: Sperm Precedence Data from the Rough-Skinned Newt
> ### Aliases: newt
> ### Keywords: datasets
>
> ### ** Examples
>
> #Fit newt data to the Poisson distribution and test goodness of fit.
> data(newt)
> fit_dist_pois(newt$Total_Offspring)
$data_pois
[1] 183 167 186 177 186 167 188 174 150 171
$fit_pois
lambda
172.400000
( 4.152108)
$chi_pois
Pearson's Chi-squared test
data: dist and data_pois
X-squared = 70, df = 63, p-value = 0.2544
Warning message:
In chisq.test(dist, data_pois) : Chi-squared approximation may be incorrect
>
>
>
>
>
> dev.off()
null device
1
>