qgen-internal {qgen} | R Documentation |
Internal Qgen functions: ciquality: A function to evaluate the empirical error rate of confidence intervals. chiplot: Plots a diagnostic chiplot interpolation: linear interpolation if (R+1)alpha is not an integer leading: A function that takes an integer (or a vector of integers) and returns a character string (or vector of character strings) with the constan length of 4; with leading zeros colVars: Form column variance for numeric arrays matrixscale: Scales a matrix, which can be a correlation or variance-covariance matrix pcorr: Takes a correlation matrix and returns a partial correlation matrix
ciquality(ciTypeL, ciTypeU, theta) chiplot(y, id = FALSE) interpolation(R, alpha, sort.mat) leading(x) colVars(x, na.rm=FALSE, dims=1, unbiased=TRUE, SumSquares=FALSE, twopass=FALSE) matrixscale(Sigma) pcorr(corr)
ciTypeL |
vector of lower confidence limits |
ciTypeU |
vector of upper confidence limits |
theta |
the known value for the statisitc |
y |
numeric vector |
id |
logical flag: identifying the individual values in the plot |
R |
scalar, the number of resamples |
alpha |
a single number or a vector; indicating the two sided error probability |
sort.mat |
an array with the first dimensions beeing repetitions at the same level, the second dimensions are the sorted values used for interpolation |
x |
an integer; if a numeric value is given, as.integer() is used |
x |
A numeric array (or a dataframe to convert to a matrix). |
na.rm |
Logical: Remove NA's? |
dims |
Number of dimensions to sum over [colSums] or leave alone [rowSums]. Only useful when x is a multidimensional array. |
unbiased |
Logical: Use (N-1) in the denominator when calculating variance? |
SumSquares |
Logical: If TRUE, colVars just returns sums of squares. |
twopass |
Logical: If TRUE, colVars uses the corrected two-pass algorithm of Chan Golub & LeVeque, which is slower but less subject to roundoff error. |
Sigma |
the matrix to be scaled |
corr |
a correlation matrix |
These are not to be called by the user (or in some cases are just waiting for proper documentation to be written ;-). colVars() is a suggestion from the R-mailing list.
colVars: Originally by Douglas Bates <bates@stat.wisc.edu> as package "MatUtils". Modified, expanded, and renamed by David Brahm <brahm@alum.mit.edu>, with help of course from the R-help gurus.
Davison, A. C. & Hinkley, D. V. (1997) Bootstrap methods and their application. Cambridge University Press.