FRtest | R Documentation |
FR test is a multivariate generalization of nonparametric two-sample test. This function is an implementation with customized options, including a visualization of the minimum spanning tree (MST).
FRtest( samp1, samp2, use.cosine = FALSE, binary = FALSE, binary.cutoff = 2, plot.MST = FALSE, col = c("#F0E442", "#56B4E9"), label.names = c("Sample 1", "Sample 2"), vertex.size = 5, edge.width = 1, ... )
samp1 |
Numeric matrix or data frame for Sample 1. Rows are multivariate dimensions, and columns are samples. E.g. gene by cell. |
samp2 |
Numeric matrix or data frame for Sample 2. |
use.cosine |
An option if to use cosine distance. Logical variable. By default ( |
binary |
An option if to use binary values. Logical variable. Default: |
binary.cutoff |
Numeric value for binary cutoff. Binary value = 1 if greater than |
plot.MST |
Boolean variable indicating if to plot the minimum spanning tree (MST). Default: |
col |
Character vector of length two for customized colors of the nodes in MST. Default: |
label.names |
Character vector of length two for customized names of the two samples. Default: |
vertex.size, edge.width, ... |
Additional plotting parammeters passed to |
Test statistics and p-values.
runs |
Total number of subtrees. |
runs.samp1 |
Number of subtrees of Sample 1. |
runs.samp2 |
Number of subtrees of Sample 2. |
stat |
The standardized FR statistic. |
p.value |
P-value of the FR test. |
## Not run: samp1 <- matrix(rnorm(100),nrow=5) samp2 <- matrix(rnorm(100),nrow=5) FRtest(samp1, samp2) FRtest(samp1, samp2, use.cosine=TRUE) FRtest(samp1, samp2, plot.MST=TRUE, main="Minimum spanning tree plot") FRtest(samp1, samp2, binary=TRUE, binary.cutoff=1) ## End(Not run)
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