Test for Trend in Proportions
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)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.