View source: R/prop_trend_test.R
prop_trend_test | R Documentation |
Performs chi-squared test for trend in proportion. This test is also known as Cochran-Armitage trend test.
Wrappers around the R base function prop.trend.test()
but
returns a data frame for easy data visualization.
prop_trend_test(xtab, score = NULL)
xtab |
a cross-tabulation (or contingency table) with two columns and multiple rows (rx2 design). The columns give the counts of successes and failures respectively. |
score |
group score. If |
return a data frame with some the following columns:
n
: the number of participants.
statistic
: the value of
Chi-squared trend test statistic.
df
: the degrees of
freedom.
p
: p-value.
method
: the used statistical test.
p.signif
: the significance level of p-values and adjusted p-values,
respectively.
The returned object has an attribute called args, which is a list holding the test arguments.
# Proportion of renal stone (calculi) across age #%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% # Data xtab <- as.table(rbind( c(384, 536, 335), c(951, 869, 438) )) dimnames(xtab) <- list( stone = c("yes", "no"), age = c("30-39", "40-49", "50-59") ) xtab # Compare the proportion of survived between groups prop_trend_test(xtab)
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