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 argment, 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 k1. 
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 TRUE then the pooled
variance is used to estimate the variance otherwise the Welch
statistic will be calculated.

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 110 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)