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
*Sự phân bố trung bình về tuổi trong mẫu nghiên cứu *
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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