library(readxl)
library(gtsummary)
library(dplyr)
##
## Attaching package: 'dplyr'
## The following objects are masked from 'package:stats':
##
## filter, lag
## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, union
lan4 <- read_excel("C:/dl/data/R-Rstudio/lan4.xlsx",
col_types = c("text", "numeric", "numeric",
"text", "numeric", "numeric", "numeric",
"numeric", "numeric", "numeric",
"numeric", "numeric", "numeric",
"numeric", "numeric", "numeric",
"numeric", "numeric", "numeric",
"numeric", "numeric", "numeric",
"numeric", "numeric", "numeric",
"numeric", "numeric", "numeric",
"numeric", "numeric", "numeric",
"numeric", "numeric", "numeric",
"numeric", "numeric", "numeric",
"numeric", "numeric", "numeric",
"numeric", "numeric", "numeric",
"numeric", "numeric", "numeric",
"text", "numeric", "text", "numeric",
"numeric", "numeric", "numeric",
"numeric", "numeric", "numeric",
"numeric", "numeric", "numeric",
"numeric", "numeric", "numeric",
"numeric", "numeric", "numeric",
"numeric", "numeric", "numeric",
"numeric", "numeric", "numeric",
"numeric", "numeric", "numeric",
"numeric", "numeric", "text", "numeric",
"numeric", "numeric", "numeric",
"numeric", "numeric", "numeric",
"numeric", "numeric", "numeric",
"numeric", "numeric", "numeric",
"numeric", "numeric", "numeric"))
View(lan4)
summary2 <- lan4 %>%
select(age, TOCA) %>%
tbl_summary(by = TOCA,
type = all_continuous() ~ "continuous2",
statistic = list(
all_continuous() ~ c("{mean} ({sd})", "{median} ({p25}, {p75})", "{min}, {max}"),
all_categorical() ~ "{n} / {N} ({p}%)"
),
digits = all_continuous() ~ 2,
label = list(
age ~ "Tuổi"
),
missing_text = "(Missing)"
) %>%
add_p(pvalue_fun = ~ style_pvalue(.x, digits = 2)) %>%
add_overall() %>%
add_n() %>%
modify_caption("*Sự phân bố trung bình về tuổi trong mẫu nghiên cứu *")
summary2
| Characteristic | N | Overall N = 158 |
0 N = 120 |
1 N = 38 |
p-value1 |
|---|---|---|---|---|---|
| Tuổi | 158 | 0.20 | |||
| Mean (SD) | 63.24 (12.15) | 64.17 (12.03) | 60.32 (12.21) | ||
| Median (Q1, Q3) | 63.50 (55.00, 72.00) | 63.50 (56.00, 72.50) | 62.00 (51.00, 69.00) | ||
| Min, Max | 33.00, 95.00 | 35.00, 95.00 | 33.00, 80.00 | ||
| 1 Wilcoxon rank sum test | |||||
par(mfrow=c(2,2))
boxplot(lan4$age ~ lan4$TOCA, col=c("white","pink"), names=c("Không tắc hoàn toàn", "Tắc hoàn toàn"),
main="Phân bố nhóm tuổi trong nghiên cứu", xlab="Tình trạng tắc nghẽn ĐMV thủ phạm", ylab="Tuổi",ylim=c(25,100), notch=TRUE)
library(ggplot2)
theme_classic()
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