`install.packages`("stargazer")
library(stargazer)
stargazer(HD,
type = 'text',` min.max=F` , mean.sd = T,
nobs = F, median = F, `iqr` = F,
digits=1, align=T,
title = "Descriptive Statistics")
Descriptive Statistics
Statistic Mean St. Dev.
AGE 62.7 8.2
WEIGHT 81.6 15.7
######### Absolute and relative frequencies and cumulative frequencies
install.packages("tidycomm")
library(tidycomm)
install.packages("tibble")
library(tibble)
HDCat=as_tibble(HD1)
HDCat
A tibble: 309 × 7
GENDER AGE WEIGHT SMOKING ANXIETY PEER_PRESSURE
1 Male 69 57 No Yes No
2 Male 74 103 Yes No No
3 Female 59 92 No No Yes
4 Male 63 58 Yes Yes No
5 Female 63 97 No No No
6 Female 75 107 No No No
7 Male 52 57 Yes No No
8 Female 51 101 Yes Yes Yes
9 Female 68 57 Yes Yes No
10 Male 53 83 Yes Yes Yes
# ℹ 299 more rows
ℹ 1 more variable: LUNG_CANCER
ℹ Use print(n = ...)
to see more rows
HDCat2=HDCat%>% tab_frequencies(GENDER,SMOKING,PEER_PRESSURE,ANXIETY,LUNG_CANCER)
HDCat2
print(HDCat2)
Present CI with the mean and Sd in the same table
present frequencies for categorical variable in table
install.packages("tidycomm")
library(tidycomm)
install.packages("tibble")
library(tibble)
HDCat=as_tibble(HD1)
HDCat
A tibble: 309 × 7
GENDER AGE WEIGHT SMOKING ANXIETY PEER_PRESSURE
1 Male 69 57 No Yes No
2 Male 74 103 Yes No No
3 Female 59 92 No No Yes
4 Male 63 58 Yes Yes No
5 Female 63 97 No No No
6 Female 75 107 No No No
7 Male 52 57 Yes No No
8 Female 51 101 Yes Yes Yes
9 Female 68 57 Yes Yes No
10 Male 53 83 Yes Yes Yes
# ℹ 299 more rows
# ℹ 1 more variable: LUNG_CANCER
# ℹ Use print(n = ...)
to see more rows
HDCat2=HDCat%>% tab_frequencies(GENDER,SMOKING,PEER_PRESSURE,ANXIETY,LUNG_CANCER)
HDCat2
A tibble: 29 × 9
GENDER SMOKING PEER_PRESSURE ANXIETY LUNG_CANCER n
-
1 Female No No No No 9
2 Female No No No Yes 11
3 Female No No Yes No 2
4 Female No No Yes Yes 4
5 Female No Yes No No 1
6 Female No Yes No Yes 19
7 Female No Yes Yes Yes 21
8 Female Yes No No No 6
9 Female Yes No No Yes 3
10 Female Yes No Yes No 2ℹ 19 more rows
ℹ 3 more variables: percent , cum_n ,
cum_percent
ℹ Use
print(n = ...)
to see more rowsprint(HDCat2)
A tibble: 29 × 9
GENDER SMOKING PEER_PRESSURE ANXIETY LUNG_CANCER n
-
1 Female No No No No 9
2 Female No No No Yes 11
3 Female No No Yes No 2
4 Female No No Yes Yes 4
5 Female No Yes No No 1
6 Female No Yes No Yes 19
7 Female No Yes Yes Yes 21
8 Female Yes No No No 6
9 Female Yes No No Yes 3
10 Female Yes No Yes No 2ℹ 19 more rows
ℹ 3 more variables: percent , cum_n ,
cum_percent
ℹ Use
print(n = ...)
to see more rowsprint(HDCat2)