ci.slope.median.bs

Computes a distrbution-free test and confidence interval for the slope
of medians in a one-factor experimental design with a quantitative
between-subjects factor using sample group medians and standard errors
as input. The sample median and standard error for each group can be
computed using the ci.median function.

Implements confidence interval and sample size methods that
are especially useful in psychological research. The methods can be
applied in 1-group, 2-group, paired-samples, and multiple-group designs
and to a variety of parameters including means, medians, proportions,
slopes, standardized mean differences, standardized linear contrasts
of means, plus several measures of correlation and association.
Confidence interval and sample size functions are given for single
parameters as well as differences, ratios, and linear contrasts of
parameters. The sample size functions can be used to approximate the
sample size needed to estimate a parameter or function of parameters
with desired confidence interval precision or to perform a variety of
hypothesis tests (directional two-sided, equivalence, superiority,
noninferiority) with desired power. For details see: Statistical Methods
for Psychologists, Volumes 1 – 4, <https://dgbonett.sites.ucsc.edu/>.

Douglas G. Bonett

statpsych

Statistical Methods for Psychologists

Robert J. Calin-Jageman

ci.slope.median.bs function

<dl><dt>alpha</dt>
<dd>alpha level for 1-alpha confidence</dd>
<dt>m</dt>
<dd>vector of sample median</dd>
<dt>se</dt>
<dd>vector of standard errors</dd>
<dt>x</dt>
<dd>vector of quantitative factor values</dd></dl>

Arguments

Confidence interval for the slope of medians in a one-factor experimental
design with a quantitative between-subjects factor — ci.slope.median.bs

<dl>

<dt>alpha</dt>
<dd>alpha level for 1-alpha confidence</dd>


<dt>m</dt>
<dd>vector of sample median</dd>


<dt>se</dt>
<dd>vector of standard errors</dd>


<dt>x</dt>
<dd>vector of quantitative factor values</dd>

</dl>

ci.slope.median.bs: Confidence interval for the slope of medians in a one-factor experimental design with a quantitative between-subjects factor

Description

Usage

Value

Arguments

Examples