`prop_trend_test.Rd`

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#> age #> stone 30-39 40-49 50-59 #> yes 384 536 335 #> no 951 869 438# Compare the proportion of survived between groups prop_trend_test(xtab)#> # A tibble: 1 x 6 #> n statistic p p.signif df method #> * <dbl> <dbl> <dbl> <chr> <dbl> <chr> #> 1 3513 49.7 1.78e-12 **** 1 Chi-square trend test