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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