csu_CI5XII_data: Cancer in five continent volume XII.
In Rcan: Cancer Registry Data Analysis and Visualisation

csu_CI5XII_data

R Documentation

Cancer in five continent volume XII.

Description

CI5 XII summary database.

Usage

data("csu_CI5XII_data")

Format

A data frame with 1113210 observations on the following 10 variables.

id_code: population code (integer)
id_label: population label (character)
country_code: UN country code (integer)
ethnic_code: ethnic code (integer)
cancer_code: cancer code (integer)
cancer_label: cancer label (character)
sex: sex (integer)
age: age variable from 1 to 19. 1 is 0-4 years, 2 is 5-9, etc..., 17 is 80-84, 18 is 85+, 19 represents missing age. (integer)
cases: Number of cases (incidence) (integer)
py: Population-year: Reference population of the registry (integer)
period: Period (character)

Details

All information are available here: https://ci5.iarc.fr/ci5-xii/

Source

https://ci5.iarc.fr/ci5-xii/

Examples


data("csu_CI5XII_data")

#get the id code asssociate to id_label
#print(unique(csu_CI5XII_data[,c("id_code", "id_label" )]),nrows = 1000)

#get the cancer code asssociate to cancer_label
#print(unique(csu_CI5XII_data[,c("cancer_label", "cancer_code")]),nrows = 1000)

#remove all cancers:
df_data <- subset(csu_CI5XII_data ,cancer_code < 62)

#change group_by option to factor
df_data$sex <- factor(df_data$sex, levels=c(1,2), labels=c("Male", "Female"))


#select Thailand changmai
df_data_1 <- subset(df_data, id_code==476400199)



dt_result_1 <- csu_ageSpecific_top(df_data_1,
                    var_age="age", 
                    var_cases="cases", 
                    var_py="py",
                    var_top="cancer_label", 
                    group_by="sex", 
                    plot_title= "Thailand, Chiangmai",
                    plot_subtitle = "Top 5 cancer",
                    missing_age = 19)



					
#select USA
df_data_2 <- subset(df_data,id_code== 384008099 & ethnic_code == 99)

dt_result_2 <- csu_ageSpecific_top(df_data_2,
                                   var_age="age", 
                                   var_cases="cases", 
                                   var_py="py",
                                   var_top="cancer_label", 
                                   group_by="sex", 
                                   plot_title= "USA",
                                   plot_subtitle = "Top 5 cancer",
                                   missing_age = 19)

Rcan documentation built on Oct. 7, 2024, 1:18 a.m.