| mcpqest {mratios} | R Documentation |
Point and variance estimation for quantiles of independent groups of samples
Description
Computes the pth quantile and variances for groups of given samples in one-way anova layout. It has option for right censored data.
Usage
mcpqest(y, f, event = NULL,
Right.Censored = FALSE, p = 0.5, ...)
Arguments
y |
a numeric vector, the response variable. If Right.Censored = True, y is non-negative follow up time for right censored in survival data. |
f |
a factor variable of the same length as y, assigning the observations in y into k groups. |
event |
a binary variable indicating status for right censored data. Usually, 1 if event of interest has occurred (death = 1) and 0 otherwise (alive = 0). |
Right.Censored |
a logical expression indicating right-censored data is being used for constructing simultaneous confidence interval. |
p |
a single numeric value between 0 and 1 indicating the level of quantile for the contrasts. The default is p = 0.5 (the median). |
... |
further arguments to be passed to the internal methods, in particular: |
Details
Mainly for internal use.
Value
a list with elements:
quantileEST |
a numeric vector, the point estimates of quantiles for each factor level. |
varEST |
a numeric vector, the variance estimates for each factor level. |
n |
a numeric vector, the sample size of each factor level |
Author(s)
Lawrence S. Segbehoe, Gemechis Dilba Djira, Frank Schaarschmidt (package inclusion)