sim.chisq.test.gf {simitation} | R Documentation |
sim.chisq.test.gf
Description
Perform a chi-squared test of goodness of fit across one or more experiments.
Usage
sim.chisq.test.gf(
simdat.chisq.gf,
hypothesized.probs = NULL,
correct = TRUE,
experiment.name = "experiment",
value.name = "x"
)
Arguments
simdat.chisq.gf |
Data for use in chi squared tests of goodness of fit across one or more experiments. The structure should be in the form returned by the function simitation::sim.chisq.gf(). |
hypothesized.probs |
A vector of hypothesized probabilities corresponding to the values in the column specified by value.name. If the values include c("B", "A", "C"), then a probability vector of c(0.5, 0.3, 0.2) would associate a value of 0.5 with "A", 0.3 with "B", and 0.2 with "C". |
correct |
Logical. For details, refer to the chisq.test documentation. |
experiment.name |
A character value providing the name of the column identifying the experiment. |
value.name |
A character value providing the name of the column identifying the values. |
Value
A data.table or data.frame with the results of the chi-squared tests.
Examples
simdat.chisq.gf <- sim.chisq.gf(n = 100, values = LETTERS[1:4], prob =
c(0.4, 0.3, 0.2, 0.1), num.experiments = 2,
experiment.name = "experiment_id", value.name = "classification", seed = 31)
test.statistics.chisq.test.gf <- sim.chisq.test.gf(simdat.chisq.gf =
simdat.chisq.gf, hypothesized.probs = c(0.25, 0.3, 0.15, 0.3),
correct = FALSE, experiment.name = "experiment_id", value.name =
"classification")