require(datasets); require(pander); require(descr)
## Loading required package: pander
## Loading required package: descr
data(esoph)
require(knitr, quietly = TRUE, warn.conflicts = FALSE)
kable(table(esoph$agegp, esoph$alcgp),
caption = "Some sample")
| 0-39g/day | 40-79 | 80-119 | 120+ | |
|---|---|---|---|---|
| 25-34 | 4 | 4 | 3 | 4 |
| 35-44 | 4 | 4 | 4 | 3 |
| 45-54 | 4 | 4 | 4 | 4 |
| 55-64 | 4 | 4 | 4 | 4 |
| 65-74 | 4 | 3 | 4 | 4 |
| 75+ | 3 | 4 | 2 | 2 |
CrossTable(esoph$agegp, esoph$alcgp, digits = 1, prop.r = FALSE, prop.t = FALSE, chisq = FALSE,
prop.chisq = FALSE)
## Cell Contents
## |-------------------------|
## | N |
## | N / Col Total |
## |-------------------------|
##
## ========================================================
## esoph$alcgp
## esoph$agegp 0-39g/day 40-79 80-119 120+ Total
## --------------------------------------------------------
## 25-34 4 4 3 4 15
## 0.2 0.2 0.1 0.2
## --------------------------------------------------------
## 35-44 4 4 4 3 15
## 0.2 0.2 0.2 0.1
## --------------------------------------------------------
## 45-54 4 4 4 4 16
## 0.2 0.2 0.2 0.2
## --------------------------------------------------------
## 55-64 4 4 4 4 16
## 0.2 0.2 0.2 0.2
## --------------------------------------------------------
## 65-74 4 3 4 4 15
## 0.2 0.1 0.2 0.2
## --------------------------------------------------------
## 75+ 3 4 2 2 11
## 0.1 0.2 0.1 0.1
## --------------------------------------------------------
## Total 23 23 21 21 88
## 0.3 0.3 0.2 0.2
## ========================================================
pander(CrossTable(esoph$agegp, esoph$alcgp, digits = 1))
## Warning in chisq.test(t, correct = FALSE, ...): Chi-squared approximation
## may be incorrect
| 0-39g/day | 40-79 | 80-119 | 120+ | Total | |
|---|---|---|---|---|---|
| 25-34 N Row(%) Column(%) |
4 27% 27% 20% |
4 27% 17% 17% |
3 14% 19% 5% |
4 5% 3% 5% |
15 17% |
| 35-44 N Row(%) Column(%) |
4 27% 27% 27% |
4 20% 17% 17% |
4 19% 14% 5% |
3 5% 5% 3% |
15 17% |
| 45-54 N Row(%) Column(%) |
4 25% 25% 25% |
4 25% 17% 17% |
4 19% 19% 5% |
4 5% 5% 5% |
16 18% |
| 55-64 N Row(%) Column(%) |
4 25% 25% 25% |
4 25% 17% 17% |
4 19% 19% 5% |
4 5% 5% 5% |
16 18% |
| 65-74 N Row(%) Column(%) |
4 27% 20% 27% |
3 27% 17% 13% |
4 19% 19% 5% |
4 3% 5% 5% |
15 17% |
| 75+ N Row(%) Column(%) |
3 27% 36% 18% |
4 18% 13% 17% |
2 10% 10% 3% |
2 5% 2% 2% |
11 12% |
| Total | 23 26% |
23 26% |
21 24% |
21 24% |
88 |
pander(CrossTable(esoph$agegp, esoph$alcgp, digits = 1, prop.c = FALSE,
prop.t = FALSE, chisq = FALSE, prop.chisq = FALSE))
| 0-39g/day | 40-79 | 80-119 | 120+ | Total | |
|---|---|---|---|---|---|
| 25-34 N Row(%) |
4 27% |
4 27% |
3 20% |
4 27% |
15 17% |
| 35-44 N Row(%) |
4 27% |
4 27% |
4 27% |
3 20% |
15 17% |
| 45-54 N Row(%) |
4 25% |
4 25% |
4 25% |
4 25% |
16 18% |
| 55-64 N Row(%) |
4 25% |
4 25% |
4 25% |
4 25% |
16 18% |
| 65-74 N Row(%) |
4 27% |
3 20% |
4 27% |
4 27% |
15 17% |
| 75+ N Row(%) |
3 27% |
4 36% |
2 18% |
2 18% |
11 12% |
| Total | 23 26% |
23 26% |
21 24% |
21 24% |
88 |