single_c_hyper: Calculate C-hyper
In samyeaman/dgconstraint: Calculates Metrics of Diversity Constraint for Genomics of Adaptation
single_c_hyper R Documentation
Calculate C-hyper
Description
single_c_hyper returns the C-score for a single pair
of lineages using the hypergeometric approach. Setting na.rm = T assumes
that missing values are true negatives.
Usage
single_c_hyper(input1, input2, na.rm = F)
Arguments
input1
numeric vector
input2
numeric vector
na.rm
boolean
Value
length-one numeric
Examples
vector1 <- rep (0,1000)
vector2 <- rep (0,1000)
vector1[c(1:5,15:20,24,31:35,47:50,75)] <- 1
vector2[c(6:9,12,19:23,28:31,78:80)] <- 1
single_c_hyper (vector1, vector2)
samyeaman/dgconstraint documentation built on July 25, 2022, 4:36 a.m.
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| single_c_hyper | R Documentation |
Calculate C-hyper
Description
single_c_hyper returns the C-score for a single pair
of lineages using the hypergeometric approach. Setting na.rm = T assumes
that missing values are true negatives.
Usage
single_c_hyper(input1, input2, na.rm = F)
Arguments
input1 |
numeric vector |
input2 |
numeric vector |
na.rm |
boolean |
Value
length-one numeric
Examples
vector1 <- rep (0,1000) vector2 <- rep (0,1000) vector1[c(1:5,15:20,24,31:35,47:50,75)] <- 1 vector2[c(6:9,12,19:23,28:31,78:80)] <- 1 single_c_hyper (vector1, vector2)
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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