stat.cor: Correlation test on permuted data.
In SebastianSosa/ant: Animal Network Toolkit Software
stat.cor R Documentation
Correlation test on permuted data.
Description
This function is the first step in the process to create a correlation test in permuted data. For more details about correlation tests, see R documentation.
Usage
stat.cor(ant, var1, var2, method = "pearson", progress = TRUE)
Arguments
ant
an ant data object originating from permutations
var1
an integer or string indicating the column in the data frames that corresponds to the first variable to correlate. This variable must be numerical.
var2
an integer or string indicating the column in the data frames that corresponds to the second variable to correlate.This variable must be numerical.
method
a string vector indicating which type of correlation to perform:
'pearson' for pearson correlation
'kendall' for kendall correlation
'spearman' for spearman correlation
progress
a boolean indicating the visualization of the permutation process.
Details
Performs correlations tests in a data frame and extracts the t statistic.
Value
a vector of 3 elements: the t statistic, the degree of freedom, and the estimate.
Author(s)
Sebastian Sosa, Ivan Puga-Gonzalez.
References
D. J. Best & D. E. Roberts (1975), Algorithm AS 89: The Upper Tail Probabilities of Spearman's rho. Applied Statistics, 24, 377-379.
Myles Hollander & Douglas A. Wolfe (1973), Nonparametric Statistical Methods. New York: John Wiley & Sons. Pages 185-194 (Kendall and Spearman tests).
Examples
t=met.strength(sim.m,sim.df,1) # Computing network metric
t=perm.net.nl(t,labels='age',rf=NULL,nperm=10,progress=FALSE) # Node label permutations
r.c=stat.cor(t,'age','strength',progress=FALSE) # Permuted correlation test
SebastianSosa/ant documentation built on Sept. 23, 2023, 7:06 a.m.
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| stat.cor | R Documentation |
Correlation test on permuted data.
Description
This function is the first step in the process to create a correlation test in permuted data. For more details about correlation tests, see R documentation.
Usage
stat.cor(ant, var1, var2, method = "pearson", progress = TRUE)
Arguments
ant |
an ant data object originating from permutations |
var1 |
an integer or string indicating the column in the data frames that corresponds to the first variable to correlate. This variable must be numerical. |
var2 |
an integer or string indicating the column in the data frames that corresponds to the second variable to correlate.This variable must be numerical. |
method |
a string vector indicating which type of correlation to perform:
|
progress |
a boolean indicating the visualization of the permutation process. |
Details
Performs correlations tests in a data frame and extracts the t statistic.
Value
a vector of 3 elements: the t statistic, the degree of freedom, and the estimate.
Author(s)
Sebastian Sosa, Ivan Puga-Gonzalez.
References
D. J. Best & D. E. Roberts (1975), Algorithm AS 89: The Upper Tail Probabilities of Spearman's rho. Applied Statistics, 24, 377-379.
Myles Hollander & Douglas A. Wolfe (1973), Nonparametric Statistical Methods. New York: John Wiley & Sons. Pages 185-194 (Kendall and Spearman tests).
Examples
t=met.strength(sim.m,sim.df,1) # Computing network metric
t=perm.net.nl(t,labels='age',rf=NULL,nperm=10,progress=FALSE) # Node label permutations
r.c=stat.cor(t,'age','strength',progress=FALSE) # Permuted correlation test
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