z_test {DAKS} | R Documentation |
Performs one- and two-sample Z-Tests for diff values
z_test(dataset, imp, imp_alt = NULL, alternative = c("two.sided", "less","greater"), mu = 0, conf.level = 0.95, v)
dataset |
a required data frame or matrix consisting of binary, 1 or 0, numeric data. |
imp |
a required object of class set
representing the set of implications (ought to be a quasi order). |
imp_alt |
an optional set of implications, representing the alternative quasi order. |
alternative |
a character string specifying the alternative hypothesis, must be one of "two.sided" (default), "greater" or "less". |
mu |
a number indicating the true value of the mean (or difference in means if you are performing a two sample test). |
conf.level |
confidence level of the interval. |
v |
a required numeric giving the inductive item tree analysis
algorithm to be performed; v = 1 (minimized corrected) and
v = 2 (corrected). |
This function performs a Z-test for comparing the diff values of one or two quasi orders.
If the arguments are of required types, z_test
returns a named list consisting of the following four
components:
Z.value |
the value of the z-statistic. |
p.value |
the p-value for the test. |
conf |
a confidence interval for the mean appropriate to the specified alternative hypothesis. |
diff.value |
The corresponding diff values for the used quasi orders according to the specified method. |
alternative |
a character string specifying the alternative hypothesis. |
mu |
a number indicating the true value of the mean (or difference in means if you are performing a two sample test). |
conf.level |
specifying what kind of confidence interval is specified. |
The current version of the package DAKS does not support peforming a Z-test for the original inductive item tree analysis algorithm.
Anatol Sargin anatol.sargin@math.uni-augsburg.de, Ali Uenlue ali.uenlue@math.uni-augsburg.de
Sargin, A. and Uenlue, A. (2009) Inductive item tree analysis: Corrections, improvements, and comparisons. Manuscript under revision. http://www.math.uni-augsburg.de/~uenlueal/
Sargin, A. and Uenlue, A. (2009) DAKS: An R package for data analysis in knowledge space theory. Manuscript submitted for publication. http://www.math.uni-augsburg.de/~uenlueal/
Uenlue, A. and Sargin, A. (2008) Maximum likelihood methodology for diff fit measures for quasi orders. Manuscript submitted for publication. http://www.math.uni-augsburg.de/~uenlueal/
iita
, the interface that provides the three (sample) inductive item tree analysis methods
under one umbrella. See also DAKS-package
for general
information about this package.
sel_set<-ind_gen(ob_counter(pisa)) z_test(pisa, sel_set[[9]], sel_set[[10]], v = 1)