t= "D:\\van anh\\DU LIEU PT\\thong ke so lieu truoc ghep.csv"
dt=read.csv(t)
head(dt)
## STT ID Sex year.of.transplatation year.of.birth Age Height Weight
## 1 1 1 1 2014 1977 37 1.72 54
## 2 2 2 1 2014 1977 37 1.67 57
## 3 3 3 0 2014 1990 24 1.50 39
## 4 4 4 1 2014 1984 30 1.65 52
## 5 5 5 1 2014 1970 44 1.68 68
## 6 6 6 1 2014 1973 41 1.67 62
## Relationship Cross.match PRA Hypertension mellitus.diabetes Virus
## 1 4 0 0 0 0 0
## 2 1 0 0 1 0 0
## 3 1 0 0 1 0 0
## 4 1 0 0 1 0 2
## 5 2 0 0 1 0 0
## 6 3 0 0 1 0 0
## Induction days.after.transplatation
## 1 1 1436
## 2 0 1448
## 3 0 1367
## 4 0 1221
## 5 1 1228
## 6 1 1190
# Tạo biến mới BMI
dt$BMI=dt$Weight*dt$Height^-1*dt$Height^-1
dt$DAT= dt$days.after.transplatation/30
head(dt)
## STT ID Sex year.of.transplatation year.of.birth Age Height Weight
## 1 1 1 1 2014 1977 37 1.72 54
## 2 2 2 1 2014 1977 37 1.67 57
## 3 3 3 0 2014 1990 24 1.50 39
## 4 4 4 1 2014 1984 30 1.65 52
## 5 5 5 1 2014 1970 44 1.68 68
## 6 6 6 1 2014 1973 41 1.67 62
## Relationship Cross.match PRA Hypertension mellitus.diabetes Virus
## 1 4 0 0 0 0 0
## 2 1 0 0 1 0 0
## 3 1 0 0 1 0 0
## 4 1 0 0 1 0 2
## 5 2 0 0 1 0 0
## 6 3 0 0 1 0 0
## Induction days.after.transplatation BMI DAT
## 1 1 1436 18.25311 47.86667
## 2 0 1448 20.43817 48.26667
## 3 0 1367 17.33333 45.56667
## 4 0 1221 19.10009 40.70000
## 5 1 1228 24.09297 40.93333
## 6 1 1190 22.23099 39.66667
library(DescTools)
Desc(dt$DAT)
## -------------------------------------------------------------------------
## dt$DAT (numeric)
##
## length n NAs unique 0s mean
## 114 114 0 108 0 17.9000000
## 100.0% 0.0% 0.0%
##
## .05 .10 .25 median .75 .90
## 1.1866667 1.9366667 5.4333333 15.4166667 25.8250000 39.1833333
##
## range sd vcoef mad IQR skew
## 68.1666667 14.2485632 0.7960091 14.9989700 20.3916667 0.9353910
##
## meanCI
## 15.2561144
## 20.5438856
##
## .95
## 42.5550000
##
## kurt
## 0.6173580
##
## lowest : 0.2333333, 0.3, 0.7333333, 0.9333333 (2), 1.1
## highest: 47.8666667, 48.2666667, 50.3333333, 60.0, 68.4
library(table1)
## Warning: package 'table1' was built under R version 3.5.3
##
## Attaching package: 'table1'
## The following objects are masked from 'package:base':
##
## units, units<-
table1(~Age + Height + Weight + DAT + BMI| Sex, data = dt )
## Warning in table1.formula(~Age + Height + Weight + DAT + BMI | Sex, data =
## dt): Terms to the right of '|' in formula 'x' define table columns and are
## expected to be factors with meaningful labels.
0 (n=25) |
1 (n=89) |
Overall (n=114) |
|
---|---|---|---|
Age | |||
Mean (SD) | 33.7 (8.89) | 35.8 (9.01) | 35.4 (8.98) |
Median [Min, Max] | 32.0 [20.0, 49.0] | 36.0 [20.0, 65.0] | 34.5 [20.0, 65.0] |
Height | |||
Mean (SD) | 8.02 (32.3) | 1.66 (0.0507) | 3.05 (15.1) |
Median [Min, Max] | 1.57 [1.50, 163] | 1.65 [1.52, 1.77] | 1.65 [1.50, 163] |
Weight | |||
Mean (SD) | 44.8 (6.26) | 56.8 (7.45) | 54.2 (8.74) |
Median [Min, Max] | 43.0 [35.0, 65.0] | 55.0 [41.5, 77.0] | 54.0 [35.0, 77.0] |
DAT | |||
Mean (SD) | 17.0 (10.2) | 18.2 (15.2) | 17.9 (14.2) |
Median [Min, Max] | 18.1 [3.67, 45.6] | 14.5 [0.233, 68.4] | 15.4 [0.233, 68.4] |
BMI | |||
Mean (SD) | 17.7 (4.13) | 20.6 (2.66) | 20.0 (3.26) |
Median [Min, Max] | 18.2 [0.00156, 23.3] | 20.3 [15.4, 30.3] | 19.8 [0.00156, 30.3] |