comp.t {DEDS} | R Documentation |
comp.t
returns a function of one argument with bindings for
L
, mu
, var.equal
. This function accepts a
microarray data matrix as its single argument, when evaluated, computes
t statistics for each row of the matrix.
comp.t(L = NULL, mu = 0, var.equal = FALSE)
L |
A vector of integers corresponding to observation (column) class labels. For k classes, the labels must be integers between 0 and k-1. |
mu |
A number indicating the true value of the mean (or difference in means if you are performing a two sample test). |
var.equal |
a logical variable indicating whether to treat the
two variances as being equal. If |
The function returned by comp.t
calculates t statistics for
each row of the microarary data matrix, given specific class labels.
comp.t
returns a function with bindings for L
,
mu
, var.equal
, which calculates and returns of vector of
t statistics for each row in the data matrix.
Yuanyuan Xiao, yxiao@itsa.ucsf.edu,
Jean Yee Hwa Yang, jean@biostat.ucsf.edu.
X <- matrix(rnorm(1000,0,0.5), nc=10) L <- rep(0:1,c(5,5)) # genes 1-10 are differentially expressed X[1:10,6:10]<-X[1:10,6:10]+1 # two sample test, unequal variance t.fun <- comp.t(L) t.X <- t.fun(X) # two sample test, equal variance t.fun <- comp.t(L, var.equal=TRUE) t.X <- t.fun(X)