anv.binned: ANOVA in kernel distribution estimation with binned data...

In binnednp: Nonparametric Estimation for Interval-Grouped Data

Description

ANOVA in kernel distribution estimation with binned data using bootstrap.

Usage

anv.binned(n, y, trt.w, abs.values = FALSE, B = 500)

Arguments

n	Vector of positive integers. Sizes of the complete samples corresponding to each treatment.
y	Vector. Observed values. They define the extremes of the sequence of intervals in which data is binned.
trt.w	Matrix. Proportion of observations within each interval. Each column corresponds to a different treatment.
abs.values	Logical. Indicates if the values of trt.w are given in absolute (TRUE) or relative (FALSE) format.
B	Positive integer. Number of bootstrap replicates used to compute the confidence bands.

Details

ANOVA for interval-grouped data.

Value

p-value of the test.

References

\insertRef

TesisMiguel2015binnednp

binnednp documentation built on June 8, 2019, 1:02 a.m.