Description Usage Arguments Details Value Note Author(s) References See Also Examples
The function pcor.test
can calculate the pairwise partial correlations between two variables. In addition, it gives us the p value as well as statistic.
1 |
x |
a numeric vector. |
y |
a numeric vector. |
z |
a numeric vector. |
method |
a character string indicating which partial correlation coefficient is to be computed. One of "pearson" (default), "kendall", or "spearman" can be abbreviated. |
Partial correlation is the correlation of two variables while controlling for a third variable. When the determinant of variance-covariance matrix is numerically zero, Moore-Penrose generalized matrix inverse is used. In this case, no p-value
and statistic
will be provided if the number of variables are greater than or equal to the sample size.
estimate |
the partial correlation coefficient between two variables |
p.value |
the p value of the test |
statistic |
the value of the test statistic |
n |
the number of samples |
gn |
the number of given variables |
method |
the correlation method used |
Missing values are not allowed
Seongho Kim <biostatistician.kim@gmail.com>
Kim, S. (2015) ppcor: An R Package for a Fast Calculation to Semi-partial Correlation Coefficients. Communications for Statistical Applications and Methods, 22(6), 665-674.
1 2 3 4 5 6 7 8 9 10 11 12 13 | # data
y.data <- data.frame(
hl=c(7,15,19,15,21,22,57,15,20,18),
disp=c(0.000,0.964,0.000,0.000,0.921,0.000,0.000,1.006,0.000,1.011),
deg=c(9,2,3,4,1,3,1,3,6,1),
BC=c(1.78e-02,1.05e-06,1.37e-05,7.18e-03,0.00e+00,0.00e+00,0.00e+00
,4.48e-03,2.10e-06,0.00e+00)
)
# partial correlation between "hl" and "disp" given "deg" and "BC"
pcor.test(y.data$hl,y.data$disp,y.data[,c("deg","BC")])
pcor.test(y.data[,1],y.data[,2],y.data[,c(3:4)])
pcor.test(y.data[,1],y.data[,2],y.data[,-c(1:2)])
|
Loading required package: MASS
estimate p.value statistic n gp Method
1 -0.6720863 0.06789202 -2.223267 10 2 pearson
estimate p.value statistic n gp Method
1 -0.6720863 0.06789202 -2.223267 10 2 pearson
estimate p.value statistic n gp Method
1 -0.6720863 0.06789202 -2.223267 10 2 pearson
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