View source: R/waterfall_functions.R
calculate_irr_periods | R Documentation |
This function returns a data frame that produces the internal rate of return for specified dates and cash flows
calculate_irr_periods(
dates = c("2016-06-01", "2017-05-31", "2018-05-31", "2019-05-31", "2020-05-31",
"2021-05-31", "2022-05-31", "2023-05-31", "2024-05-31", "2025-05-31", "2026-05-31"),
cash_flows = c(3000, -478.515738547242, -478.515738547242, -478.515738547242,
-478.515738547242, -478.515738547242, -478.515738547242, -478.515738547242,
-478.515738547242, -478.515738547242, -478.515738547278),
date_format = "%Y-%m-%d",
scale_to_100 = F,
return_percentage = F,
return_df = T,
return_wide = T,
return_message = T
)
dates |
vector of dates, year-month-date format |
cash_flows |
vector of cash flows |
date_format |
date format |
scale_to_100 |
|
return_percentage |
|
return_df |
|
return_message |
|
tibble
Other calculation:
calculate_cash_flow_dates()
,
calculate_cash_flow_waterfall()
,
calculate_cash_flow_waterfall_partnership()
,
calculate_cash_flows_returns()
,
calculate_days_accrued_pref()
,
calculate_leverage_metrics()
,
calculate_loan_payment()
,
calculate_residual_valuation_cap_rates()
,
calculate_residual_valuation_ebitda_multiples()
,
calculate_share_proceeds()
,
calculate_valuation_post_money()
,
tidy_promote_structure()
Other leveraged finance calculation:
calculate_cash_flow_dates()
,
calculate_cash_flow_waterfall()
,
calculate_cash_flow_waterfall_partnership()
,
calculate_cash_flows_returns()
,
calculate_leverage_metrics()
,
calculate_loan_payment()
Other partnership calculation:
calculate_cash_flow_dates()
,
calculate_cash_flow_waterfall()
,
calculate_cash_flow_waterfall_partnership()
,
calculate_cash_flows_returns()
,
calculate_days_accrued_pref()
,
tidy_promote_structure()
calculate_irr_periods(dates = c("2016-06-01","2017-05-31", "2018-05-31", "2019-05-31", "2020-05-31", "2021-05-31",
"2022-05-31", "2023-05-31", "2024-05-31", "2025-05-31", "2026-05-31"), cash_flows = c( -3000, 478.515738547242, 478.515738547242, 478.515738547242, 478.515738547242,
478.515738547242, 478.515738547242, 478.515738547242, 478.515738547242, 478.515738547242, 478.515738547278 ), date_format = '%Y-%m-%d', scale_to_100 = FALSE,
return_percentage = FALSE, return_df = TRUE, return_wide = TRUE, return_message = TRUE)
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