lt_flexible error

[cimentadaj]

@TTRustam @timriffe some random error with this reproduce_error file

data_in <- readr::read_csv("~/Downloads/reproduce_error.csv")

data_in <-
  data_in %>%
  filter(.id == 4)

data_in %>%
  lt_flexible(
  OAnew = 100,
  age_out = "single",
  extrapFrom = 80,
  extrapFit = seq(60, 100, by = 5),
  extrapLaw = "Kannisto",
  radix = 100000,
  SRB = 1.05,
  a0rule = "Andreev-Kingkade",
  axmethod = "UN (Greville)",
  Sex = "Total"
)

Error in `reframe()` at ODAPbackend/R/lifetables.R:88:3:
ℹ In argument: `lt_flexible_chunk(...)`.
ℹ In group 1: `.id = 4`.
Caused by error in `if (any(ind)) ...`:
! missing value where TRUE/FALSE needed
Run `rlang::last_trace()` to see where the error occurred.

[timriffe]

my guess this is because we still need to integrate passing group_vars to the function; probably the Sex column was simply not available to lt_flexible()? @TTRustam, can you troubleshoot this?

On Thu, Oct 24, 2024 at 4:25 PM Jorge Cimentada @.***> wrote:

@TTRustam https://github.com/TTRustam @timriffe https://github.com/timriffe some random error with this reproduce_error file https://github.com/user-attachments/files/17508499/reproduce_error.csv

data_in <- readr::read_csv("~/Downloads/reproduce_error.csv") data_in <- data_in %>% filter(.id == 4) data_in %>% lt_flexible( OAnew = 100, age_out = "single", extrapFrom = 80, extrapFit = seq(60, 100, by = 5), extrapLaw = "Kannisto", radix = 100000, SRB = 1.05, a0rule = "Andreev-Kingkade", axmethod = "UN (Greville)", Sex = "Total" )

Error in reframe() at ODAPbackend/R/lifetables.R:88:3: ℹ In argument: lt_flexible_chunk(...). ℹ In group 1: .id = 4. Caused by error in if (any(ind)) ...: ! missing value where TRUE/FALSE needed Run rlang::last_trace() to see where the error occurred.

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[TTRustam]

Good afternoon everyone.

Well, this question partly intersects with the second one: 1) Use data directly rather than pipe 2) Columns to be used as groups However in this is not a problem of lt_flexible, it is the DemoToola function that gives this error, look: data_in <- data_in %>% filter(.id == 4) lt_abridged2single(Deaths = data_in$Deaths, Exposures = data_in$Exposures, Age = data_in$Age) I don't know why this happens. Maybe we can take a look at this together with Tim?

Best regards, Rustam.

чт, 24 окт. 2024 г. в 16:34, Tim Riffe @.***>:

my guess this is because we still need to integrate passing group_vars to the function; probably the Sex column was simply not available to lt_flexible()? @TTRustam, can you troubleshoot this?

On Thu, Oct 24, 2024 at 4:25 PM Jorge Cimentada @.***> wrote:

@TTRustam https://github.com/TTRustam @timriffe https://github.com/timriffe some random error with this reproduce_error file https://github.com/user-attachments/files/17508499/reproduce_error.csv

data_in <- readr::read_csv("~/Downloads/reproduce_error.csv") data_in <- data_in %>% filter(.id == 4) data_in %>% lt_flexible( OAnew = 100, age_out = "single", extrapFrom = 80, extrapFit = seq(60, 100, by = 5), extrapLaw = "Kannisto", radix = 100000, SRB = 1.05, a0rule = "Andreev-Kingkade", axmethod = "UN (Greville)", Sex = "Total" )

Error in reframe() at ODAPbackend/R/lifetables.R:88:3: ℹ In argument: lt_flexible_chunk(...). ℹ In group 1: .id = 4. Caused by error in if (any(ind)) ...: ! missing value where TRUE/FALSE needed Run rlang::last_trace() to see where the error occurred.

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. You are receiving this because you were mentioned.Message ID: @.***>

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[timriffe]

idk where this example data came from, but it implies nMx values that are basically impossible. Please swap them out for something plausible. Or was there perhaps a smooth_flexible() step preceding lt_flexible() that caused a scale change somehow?