Distribution of patient ages.

age_dist

Format

A data.table with columns:

age_cat

Age category.

age_lower

Lower bound of age category.

age_upper

Upper bound of age category.

age_mid

Midpoint of age category.

prop

Proportion of patients in age category.

Also contains the attributes:

mean

Mean age.

sd

Standard deviation of age.

Source

https://seer.cancer.gov/csr/1975_2015/results_merged/topic_age_dist.pdf

Examples

print(age_dist)
#> age_cat age_bot age_top age_mid prop #> 1: 0 - 19 0 19 9.5 0.0000 #> 2: 20 - 34 20 34 27.0 0.0002 #> 3: 35 - 44 35 44 39.5 0.0100 #> 4: 45 - 54 45 54 49.5 0.0740 #> 5: 55 - 64 55 64 59.5 0.2170 #> 6: 65 - 74 65 74 69.5 0.3340 #> 7: 75 - 84 75 84 79.5 0.2680 #> 8: 85+ 85 100 92.5 0.0940
attr(age_dist, "mean")
#> [1] 70.38598
attr(age_dist, "sd")
#> [1] 11.67923