Description Usage Arguments Value See Also Examples
The function builds contingency tables: counts and row proportions.
ctab2
is an alternative to ctab
. The difference
is that outputs of ctab2
are data frames, while outputs of ctab are tables.
Both ctab2
and ctab
have the same syntax.
Three types of data are managed by ctab2
:
Split individual data;
Grouped data with weights;
Grouped data of form “cbind(success, failure)”.
For grouped data, ctab2
uses splitbin
.
1 2 |
formula |
A 2-sided formula describing the contincency table. The left-hand side represents the column-variable. See examples for syntax. |
data |
A data frame where |
weights |
Variable representing the weight for grouped data with weights. |
digits |
A scalar indicating the number of decimal digits left when rounding the result of the statictics. |
A list with components CALL
, formula
, f
, tab
, tab.p
and digits
.
Component tab
is the basic contingency table.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 | #=== Example of the 3 types of data managed by ctab2
# Split data
tmp <- data.frame(
treatment = c("B", "A", "C", "C", "B", "B", "C", "A", "B", "B", NA, "C"),
surv = c("YES", "NO", "YES", "YES", "NO", "NO", "NO", "YES", "YES", "NO", "NO", NA)
)
#tmp$treatment <- factor(tmp$treatment, levels = c("C", "A", "B"))
tmp
ctab2(formula = surv ~ 1, data = tmp)
ctab2(formula = surv ~ treatment, data = tmp, digits = 1)
# Grouped data with weights
tmp <- data.frame(
treatment = c("A", "B", "C", "A", "B", "C", NA, "C"),
surv = c("NO", "NO", "NO", "YES", "YES", "YES", "NO", NA),
n = c(1, 3, 1, 1, 2, 2, 1, 1)
)
tmp
ctab2(formula = surv ~ 1, data = tmp, weights = n)
ctab2(formula = surv ~ treatment, data = tmp, weights = n)
# Grouped data of the form "cbind(success, failure)"
tmp <- data.frame(
treatment = c("A", "B", "C", NA),
surv = c(1, 2, 2, 0),
death = c(1, 3, 1, 1)
)
tmp
ctab2(formula = cbind(surv, death) ~ 1, data = tmp)
ctab2(formula = cbind(surv, death) ~ treatment, data = tmp)
#=== Examples of tables
n <- 80
tmp <- data.frame(
y1 = sample(1:2, n, replace = TRUE),
y2 = sample(1:2, n, replace = TRUE),
y3 = sample(1:3, n, replace = TRUE),
y4 = sample(1:4, n, replace = TRUE)
)
head(tmp)
ctab2(formula = y3 ~ 1, data = tmp)
res <- ctab2(formula = y3 ~ y1, data = tmp)
res$tab
res$tab.p
ctab2(formula = y3 ~ y1 + y2, data = tmp)
ctab2(formula = y3 ~ y1 + y2 + y4, data = tmp)
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