Demographic Analysis and Data Manipulation.

poputils

Manipulate and analyse demographic data.

Installation

install.packages("poputils")

For end users

Data manipulation

• logit(), invlogit() Logistic transformation
• trim_01() Trim values to interval (0, 1)
• rr3() Randomly round to base 3

Labels

• age_labels() Create age labels
• age_lower(), age_mid(), age_upper() Limits and midpoints of age groups
• combine_age() Merge age group labels
• reformat_age() Reformat age group labels
• reformat_sex() Reformat sex labels
• set_age_open() Specify oldest age group

Life expectancy, life tables

• e0_to_lifetab_logit() Life table from Brass logit model
• lifeexp() Life expectancy from mortality rates
• lifetab() Life tables from mortality rates
• q0_to_m0() Infant mortality

Fertility

• tfr() Calculate total fertility rates
• tfr_to_asfr_scale() Age-specific fertility rates from scaling

For developers

Checking arguments

• check_n() Check an integer scalar.

Data manipulation

• check_no_overlap_colnums() Check for argument clashes
• groups_colnums() Get column numbers for grouping variables
• matrix_to_list_of_cols(), matrix_to_list_of_rows() Split matrix
• to_matrix() Convert data frame to matrix

Labels

• age_group_type() Infer type of age group label
• check_age() Validity checks for age group labels
• find_label_female(), find_label_male() Identify sex or gender labels
• find_var_age(), find_var_sexgender(), find_var_time() Identify age, sex/gender, time variables

Stable populations

• .intrinsic_growth_rate() Growth rate implied by mortality, fertility schedules.