View source: R/getDesignMeans.R
getDesignANOVAContrast | R Documentation |
Obtains the power and sample size for a single contrast in one-way analysis of variance.
getDesignANOVAContrast(
beta = NA_real_,
n = NA_real_,
ngroups = 2,
means = NA_real_,
stDev = 1,
contrast = NA_real_,
meanContrastH0 = 0,
allocationRatioPlanned = NA_real_,
rounding = TRUE,
alpha = 0.025
)
beta |
The type II error. |
n |
The total sample size. |
ngroups |
The number of treatment groups. |
means |
The treatment group means. |
stDev |
The common standard deviation. |
contrast |
The coefficients for the single contrast. |
meanContrastH0 |
The mean of the contrast under the null hypothesis. |
allocationRatioPlanned |
Allocation ratio for the treatment
groups. It has length |
rounding |
Whether to round up sample size. Defaults to 1 for sample size rounding. |
alpha |
The one-sided significance level. Defaults to 0.025. |
An S3 class designANOVAContrast
object with the following
components:
power
: The power to reject the null hypothesis for the
treatment contrast.
alpha
: The one-sided significance level.
n
: The number of subjects.
ngroups
: The number of treatment groups.
means
: The treatment group means.
stDev
: The common standard deviation.
contrast
: The coefficients for the single contrast.
meanContrastH0
: The mean of the contrast under the null
hypothesis.
meanContrast
: The mean of the contrast under the alternative
hypothesis.
effectsize
: The effect size.
allocationRatioPlanned
: Allocation ratio for the treatment
groups.
rounding
: Whether to round up sample size.
Kaifeng Lu, kaifenglu@gmail.com
(design1 <- getDesignANOVAContrast(
beta = 0.1, ngroups = 4, means = c(1.5, 2.5, 2, 0),
stDev = 3.5, contrast = c(1, 1, 1, -3)/3,
allocationRatioPlanned = c(2, 2, 2, 1),
alpha = 0.025))
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