quantile.disagree.sim | R Documentation |
Provides a concise quantile summary of objects created using the function ad.m.sim. The simulation functions for the average deviation of the mean (or median) return a limited number of estimated values. Consequently, the normal quantile methods are biased. The quantile methods incorporated in this function produce unbiased estimates.
## S3 method for class 'disagree.sim' quantile(x,confint,...)
x |
An object of class 'disagree.sim'. |
confint |
The confidence intervals to return. The values of 0.05 and 0.01 return the approximate 5 percent and 1 percent confidence intervals. Values equal to or smaller than these values are significant (p=.05, p=.01). |
... |
Optional arguments. None used. |
A dataframe with two columns. The first column contains the quantile value and the second contains the estimate based on the object.
Paul Bliese pdbliese@gmail.com
ad.m.sim
#Example from Dunlap et al. (2003), Table 3. The listed significance #value (p=.05) for a group of size 5 with a 7-item response format is #0.64 or less. SIMOUT<-ad.m.sim(gsize=5, nitems=1, nresp=7, itemcors=NULL, type="mean", nrep=1000) quantile(SIMOUT, c(.05,.01))
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