gof_test | R Documentation |
This function performs a number of gof tests
gof_test(
x,
vals = NA,
pnull,
rnull,
w = function(x) -99,
phat = function(x) -99,
TS,
TSextra = NA,
nbins = c(50, 10),
rate = 0,
Range = c(-Inf, Inf),
B = 5000,
minexpcount = 5,
ChiUsePhat = TRUE,
maxProcessors = 1,
doMethods = "all"
)
x |
data set |
vals |
=NA, values of discrete RV, or NA if data is continuous |
pnull |
cdf under the null hypothesis |
rnull |
routine to generate data under the null hypothesis |
w |
(Optional) function to calculate weights, returns -99 if no weights |
phat |
=function(x) -99, function to estimate parameters from the data, or -99 if no parameters are estimated |
TS |
user supplied function to find test statistics, if any |
TSextra |
=NA, list passed to TS, if desired, or NA |
nbins |
=c(100, 10) number of bins for chi-square tests |
rate |
=0 rate of Poisson if sample size is random, 0 if sample size is fixed |
Range |
=c(-Inf, Inf) limits of possible observations, if any, for chi-square tests |
B |
=5000 number of simulation runs |
minexpcount |
=5 minimal expected bin count required |
ChiUsePhat |
= TRUE, if TRUE param is estimated parameter, otherwise minimum chi square method is used. |
maxProcessors |
=1, number of processors to use in parallel processing. |
doMethods |
Methods to include in tests |
A list with vectors of test statistics and p.values
# Tests to see whether data comes from a standard normal distribution.
pnull = function(x) pnorm(x)
rnull = function() rnorm(100)
x = rnorm(100)
gof_test(x, NA, pnull, rnull)
# Tests to see whether data comes from a normal distribution with standard deviation 1
# and the mean estimated.
pnull=function(x, m) pnorm(x, m)
rnull=function(m) rnorm(100, m)
TSextra = list(qnull=function(x, m=0) qnorm(x, m),
pnull=function(x, m=0) pnorm(x, m), phat=function(x) mean(x))
phat=function(x) mean(x)
x = rnorm(100, 1, 2)
gof_test(x, NA, pnull, rnull, phat=phat, TSextra=TSextra)
# Tests to see whether data comes from a binomial (10, 0.5) distribution.
vals=0:10
pnull = function() pbinom(0:10, 10, 0.5)
rnull = function() table(c(0:10, rbinom(1000, 10, 0.5)))-1
x = rnull()
gof_test(x, vals, pnull, rnull, doMethods="all")
# Tests to see whether data comes from a binomial distribution with
# the success probability estimated from the data.
pnull = function(p=0.5) pbinom(0:10, 10, ifelse(p>0&&p<1, p, 0.001))
rnull = function(p=0.5) table(c(0:10, rbinom(1000, 10,
ifelse(p>0&&p<1, p, 0.001))))-1
phat=function(x) mean(rep(0:10,x))/10
gof_test(x, vals, pnull, rnull, phat=phat)
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