calculateContParams: Calculate the mean and variance of a quantitative variable in...
In vincela/VarExp: Computes phenotypic variance explained by a set of genetic and/or interaction effects
Description
Usage
Arguments
Value
Examples
Description
Calculate the mean and variance of a quantitative variable in a pooled sample of several cohorts
Usage
1
calculateContParams(N, m, v)
Arguments
N
is a vector of sample size in each cohorts
m
is a vector of the mean of the variable in each individual cohort
v
is a vector of the standard deviation of the variable in each individual cohorts
Value
A vector of length 2 which first element is the mean and second element is the variance
Examples
1
2
3
4
sample_sizes = c(250, 1000, 10000,7500)
means = c(2.5, 2.28, 2.32, 2.42)
sds = c(1.05,1.1, 0.98, 0.94)
parameters = calculateContParams(sample_sizes, means, sds)
vincela/VarExp documentation built on May 29, 2019, 12:42 p.m.
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Description Usage Arguments Value Examples
Description
Calculate the mean and variance of a quantitative variable in a pooled sample of several cohorts
Usage
1 | calculateContParams(N, m, v)
|
Arguments
N |
is a vector of sample size in each cohorts |
m |
is a vector of the mean of the variable in each individual cohort |
v |
is a vector of the standard deviation of the variable in each individual cohorts |
Value
A vector of length 2 which first element is the mean and second element is the variance
Examples
1 2 3 4 | sample_sizes = c(250, 1000, 10000,7500)
means = c(2.5, 2.28, 2.32, 2.42)
sds = c(1.05,1.1, 0.98, 0.94)
parameters = calculateContParams(sample_sizes, means, sds)
|
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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