Npmc.test: Multiple Comparisons For Non-parametric Data After, E.g.

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helophilus/ColsTools A variety of convenience tools and short-cuts

Package index Search the helophilus/ColsTools package Functions 38 Source code 43 Man pages 38

• arrowhead: draws an arrow head at specified coordinates
• assrand: randomization method for test of association/independence in...
• bin2dec: conversion between decimal and binary
• colGradLegend: Adds a colour gradient legend to a base plot
• cor.heat: Produce a correlation matrix as a heatmap.
• corner: show the top-left corner of a data frame or matrix
• dec2bin: conversion from decimal to binary
• distShade: Shade the area under an existing distribution curve from two...
• dummy: Convert a single variable of multiple levels into binary...
• errorbars: add asymertric error bars to existing scatter plot
• gofRand: randomization test for goodness of fit
• ilogit: calculates the inverse logit
• invlogit: inverse logit function using glm model parameters
• Kcross: Produces indexes to split data into test and training groups...
• miss: returns values from vector that are not included in a second
• ModCV: Cross validation of a regression Model using indexes created...
• mse: calculates mean squared error from predictions vs actual for...
• newscale: convert vector linearly to new scale defined by provided min...
• nnear: finds the nearest values in a vector to a specified target...
• normarea: add shaded area to existing normal distribution curve
• npmc.test: multiple comparisons for non-parametric data after, e.g.,...
• panel.cor: This is not my code, but I can't find it in a package I've...
• panel.hist: Modification of pairs plots to show histograms and...
• panel.points: Modification of pairs plots to show histograms and...
• PBayes: calculate a probability from Bayes Theorem.
• poisGoF: calculates probability of data not being Poisson distributed...
• poissonGoF: goodness-of-fit test for a Poisson distribution
• precplot: replacement for rethinking::plot(precis(model)) which doesn't...
• propz: convert vector to proportions
• ROCplot: Simple ROC curve with optimal threshold and AUC approximation
• stats2x2: produces statistics from a 2 x 2 contingency table
• sumsq: return sum of squares wrt to mean or supplied value
• titlecase: sentence case for single character string
• tots: a simple function to add totals to a contingency table (or...
• transp: make colours in plots transparent
• twoCol: Prepares data frame for analysis by binomial glm using...
• UNI: remove repeated rows from data frame so stipulated variable...
• vifs: Gives variance inflation factors for a linear model or data...
• Browse all...

Home / GitHub / helophilus/ColsTools / npmc.test: multiple comparisons for non-parametric data after, e.g.,... npmc.test: multiple comparisons for non-parametric data after, e.g.,... In helophilus/ColsTools: A variety of convenience tools and short-cuts

Description Usage Arguments Details

Description

npmc.test(formula,data,display=1)

Usage

1	npmc.test(formula, data = NULL, display = 1)

Arguments

formula	of the type resp~explan where <i>resp</i> is the response variable and explan the explanatory variable.
data	is the name of the data frame containing the variables
display	setting this to zero produces no output table

Details

Code for carrying out Dunn/Nemenyi test after significant Kruskal Wallis test using formula If group sizes are equal Nemenyi is used, otherwise Dunn.

See Zar's Biostatistical Analysis section 11.6 for details The test used is printed unless display=0

helophilus/ColsTools documentation built on May 30, 2019, 4:03 p.m.

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