ffp_hfid_invest_loan_bridge_roster
Source:R/ffp_investloan_roster.R
ffp_hfid_invest_loan_bridge_roster.RdImplements step 1 of https://github.com/FanWangEcon/PrjThaiHFID/issues/22 _notes/issues/issues_20240217_roster_invest_bridge.md
Usage
ffp_hfid_invest_loan_bridge_roster(
df_invdates_uniq,
df_loans_bridges_type,
df_loans_pn_nd,
verbose = FALSE,
verbose_detail = FALSE,
it_verbose_detail_nrow = 100
)Arguments
- df_invdates_uniq
A data frame containing unique investment dates.
- df_loans_bridges_type
A data frame containing bridge loan information.
- df_loans_pn_nd
A data frame containing distinct timing and lender type loan information.
- verbose
A logical value indicating whether to print verbose output. Default is FALSE.
- verbose_detail
A logical value indicating whether to print verbose detail output. Default is FALSE.
- it_verbose_detail_nrow
An integer specifying the number of rows to print for verbose detail output. Default is 100.
Author
Fan Wang, http://fanwangecon.github.io
Examples
df_invdates_uniq <- PrjThaiHFID::tstm_invdates_uniq
df_loans_bridges_type <- PrjThaiHFID::tstm_loans_bridges_type
df_loans_pn_nd <- PrjThaiHFID::tstm_loans_pn_nd
ls_return <- ffp_hfid_invest_loan_bridge_roster(df_invdates_uniq, df_loans_bridges_type, df_loans_pn_nd)
#> Adding missing grouping variables: `br_type`, `br_type_id`
print(ls_return)
#> $tstm_roster_invest_loan_bridge
#> # A tibble: 103,983 × 8
#> # Groups: hhid_Num [775]
#> hhid_Num roster_type_id mth_start mth_end roster_type br_type br_type_id
#> <dbl> <int> <dbl> <dbl> <chr> <chr> <int>
#> 1 70201 1 18 18 investment NA NA
#> 2 70202 1 31 31 investment NA NA
#> 3 70202 2 63 63 investment NA NA
#> 4 70202 3 102 102 investment NA NA
#> 5 70202 4 111 111 investment NA NA
#> 6 70202 5 123 123 investment NA NA
#> 7 70202 6 147 147 investment NA NA
#> 8 70202 7 147 148 investment NA NA
#> 9 70202 8 148 148 investment NA NA
#> 10 70203 1 28 28 investment NA NA
#> # ℹ 103,973 more rows
#> # ℹ 1 more variable: mth_gap <dbl>
#>