t_test_ci: calculates mean & CI for residuals using t-distribution
In Benjamin-Vincent-Lab/binfotron: Binfotron Bioinformatics Analysis Tools Suite
t_test_ci R Documentation
calculates mean & CI for residuals using t-distribution
Description
This CI method does not assume we know the sd and uses different t-distributions to get a better estimate of the distribution of the data.
Both t_test_ci and z_test_ci assume the data are normally distributed. It will usually be better to use the t_test_ci. This will equal the z_test_ci as N -> inf
Usage
t_test_ci(x)
Arguments
x
Numeric vector to correlate with vector_b
Benjamin-Vincent-Lab/binfotron documentation built on Oct. 1, 2024, 8:33 p.m.
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| t_test_ci | R Documentation |
calculates mean & CI for residuals using t-distribution
Description
This CI method does not assume we know the sd and uses different t-distributions to get a better estimate of the distribution of the data. Both t_test_ci and z_test_ci assume the data are normally distributed. It will usually be better to use the t_test_ci. This will equal the z_test_ci as N -> inf
Usage
t_test_ci(x)
Arguments
x |
Numeric vector to correlate with vector_b |
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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