csu_ci5_mean: cancer registry data

Description

CI5 XII data, all population grouped.

Usage

data("csu_ci5_mean")

Arguments

Format

A data frame with 1026 observations on the following 5 variables.

ci5_cancer_code: cancer code
ci5_cancer_label: cancer label
CSU_age_factor: age variable from 1 to 18. 1 is 0-4 years, 2 is 5-9, etc..., 17 is 80-84, 18 is 85+.
CSU_C: Number of cases (incidence)
CSU_P: Population-year: Reference population

Details

This dataset have been created in order to compare age specific rate with the CI5XII mean directly on the age specific rate graph. Here is the table of cancer_label and cancer_code available:

ci5_cancer_code	ci5_cancer_label
1	Lip
2	Tongue
3	Mouth
4	Salivary glands
5	Tonsil
6	Other oropharynx
7	Nasopharynx
8	Hypopharynx
9	Pharynx unspecified
10	Oesophagus
11	Stomach
12	Small intestine
13	Colon
14	Rectum
15	Anus
16	Liver
17	Gallbladder
18	Pancreas
19	Nose, sinuses
20	Larynx
21	Lung
23	Bone
24	Melanoma of skin
25	Other skin
26	Mesothelioma
27	Kaposi sarcoma
28	Connective and soft tissue
29	Breast
30	Vulva
31	Vagina
32	Cervix uteri
33	Corpus uteri
35	Ovary
37	Placenta
38	Penis
39	Prostate
40	Testis
42	Kidney
43	Renal pelvis
44	Ureter
45	Bladder
47	Eye
48	Brain, nervous system
49	Thyroid
50	Adrenal gland
51	Other endocrine
52	Hodgkin disease
53	Non-Hodgkin lymphoma
54	Immunoproliferative diseases
55	Multiple myeloma
56	Lymphoid leukaemia
57	Myeloid leukaemia
58	Leukaemia unspecified
59	Myeloproliferative disorders
60	Myelodysplastic syndromes
62	All sites
63	All sites but skin

See: csu_ageSpecific

Examples

Run this code


data(csu_registry_data_1)
test <- subset(csu_registry_data_1 , registry_label == "Colombia, Cali")
csu_ageSpecific(test,
                plot_title = "Colombia, Liver, male",
                CI5_comparison = "Liver")
 
#See more examples here:
help(csu_ageSpecific)