ppc: Data to illustrate the posterior predictive checks for the...
In abc.data: Data Only: Tools for Approximate Bayesian Computation (ABC)
Description
data(ppc) loads in the data frame post.bott, which
contains the summary statistics calculated from data simulated a
posteriori under the bottleneck model (see data(human) and the
package's vignette for more details).
Usage
1
Format
The post.bott data frame contains the following columns:
pi-
The mean nucleotide diversity over 50 loci.
TajD.m-
The mean of Tajima's D statistic over 50 loci.
TajD.v-
The variance of Tajima's D statistic over 50 loci.
Each row represents a simulation. 1000 simulations
were performed under the bottleneck model.
abc.data documentation built on May 2, 2019, 9:33 a.m.
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Description
data(ppc) loads in the data frame post.bott, which
contains the summary statistics calculated from data simulated a
posteriori under the bottleneck model (see data(human) and the
package's vignette for more details).
Usage
1 |
Format
The post.bott data frame contains the following columns:
pi-
The mean nucleotide diversity over 50 loci.
TajD.m-
The mean of Tajima's D statistic over 50 loci.
TajD.v-
The variance of Tajima's D statistic over 50 loci.
Each row represents a simulation. 1000 simulations were performed under the bottleneck model.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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