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Clean up repository #54

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14 changes: 0 additions & 14 deletions ..Rcheck/00check.log
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This file was deleted.

2 changes: 2 additions & 0 deletions .Rbuildignore
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Expand Up @@ -10,3 +10,5 @@
^CITATION\.cff$
^doc$
^Meta$
^examples$
^inst/aiprompts$
2 changes: 2 additions & 0 deletions .gitignore
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docs
/doc/
/Meta/
*.tar.gz
*.Rcheck/
9 changes: 6 additions & 3 deletions R/generate_event_cc.R
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Expand Up @@ -18,7 +18,8 @@
#' #------------------------Example of IA and FA
#' event <- data.frame(
#' Population = c("Experimental 1", "Experimental 2", "Experimental 3", "Control"),
#' IA = c(70, 75, 80, 85), # Interim Analysis values indicating the number of events observed in each group
#' # Interim Analysis values indicating the number of events observed in each group
#' IA = c(70, 75, 80, 85),
#' FA = c(135, 150, 165, 170)
#' )
#'
Expand All @@ -33,8 +34,10 @@
#' #----------------------Example of two IAs and FA
#' event <- data.frame(
#' Population = c("Experimental 1", "Experimental 2", "Experimental 3", "Control"),
#' IA1 = c(70, 75, 80, 85), # First Interim Analysis values indicating the number of events observed in each group
#' IA2 = c(90, 95, 100, 105), # Second Interim Analysis values indicating the number of events observed in each group
#' # First Interim Analysis values indicating the number of events observed in each group
#' IA1 = c(70, 75, 80, 85),
#' # Second Interim Analysis values indicating the number of events observed in each group
#' IA2 = c(90, 95, 100, 105),
#' FA = c(135, 150, 165, 170)
#' )
#'
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15 changes: 10 additions & 5 deletions R/generate_event_ol.R
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Expand Up @@ -22,8 +22,10 @@
#' @examples
#' #------------------------Example of IA and FA
#' event <- data.frame(
#' Population = c("Population 1", "Population 2", "Population 1 Intersection 2", "Overall population"),
#' IA = c(100, 110, 80, 225), # Interim Analysis values indicating the number of events observed in each group
#' Population = c("Population 1", "Population 2", "Population 1 Intersection 2",
#' "Overall population"),
#' # Interim Analysis values indicating the number of events observed in each group
#' IA = c(100, 110, 80, 225),
#' FA = c(200, 220, 160, 450)
#' )
#'
Expand All @@ -37,9 +39,12 @@
#'
#' #----------------------Example of two IAs and FA
#' event <- data.frame(
#' Population = c("Population 1", "Population 2", "Population 1 Intersection 2", "Overall population"),
#' IA1 = c(100, 110, 80, 225), # First Interim Analysis values indicating the number of events observed in each group
#' IA2 = c(120, 130, 90, 240), # Second Interim Analysis values indicating the number of events observed in each group
#' Population = c("Population 1", "Population 2", "Population 1 Intersection 2",
#' "Overall population"),
#' # First Interim Analysis values indicating the number of events observed in each group
#' IA1 = c(100, 110, 80, 225),
#' # Second Interim Analysis values indicating the number of events observed in each group
#' IA2 = c(120, 130, 90, 240),
#' FA = c(200, 220, 160, 450)
#' )
#'
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21 changes: 12 additions & 9 deletions R/generate_event_table_.R
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Expand Up @@ -27,29 +27,32 @@
#' # ----------------------- Example of common control
#' event <- data.frame(
#' Population = c("Experimental 1", "Experimental 2", "Experimental 3", "Control"),
#' IA = c(70, 75, 80, 85), # Interim analysis values indicating the number of events observed in each experimental group.
#' FA = c(135, 150, 165, 170) # Final analysis values indicating the cumulative number of events observed in each group.
#' # Interim analysis values indicating the number of events observed in each experimental group.
#' IA = c(70, 75, 80, 85),
#' # Final analysis values indicating the cumulative number of events observed in each group.
#' FA = c(135, 150, 165, 170)
#' )
#'
#' hypothesis <- list(
#' H1 = "Experimental 1 vs. Control", # Hypothesis comparing Experimental 1 with Control.
#' H2 = "Experimental 2 vs. Control", # Hypothesis comparing Experimental 2 with Control.
#' H3 = "Experimental 1 vs. Experimental 2" # Hypothesis comparing Experimental 1 and Experimental 2.
#' H1 = "Experimental 1 vs. Control",
#' H2 = "Experimental 2 vs. Control",
#' H3 = "Experimental 1 vs. Experimental 2"
#' )
#'
#' generate_event_table_(event, hypothesis, type = "common_control")
#'
#' # ------------------------ Example of overall population
#' event <- data.frame(
#' Population = c("Population 1", "Population 2", "Population 1 Intersection 2", "Overall population"),
#' Population = c("Population 1", "Population 2", "Population 1 Intersection 2",
#' "Overall population"),
#' IA = c(100, 110, 80, 225), # Interim analysis values for the overall population.
#' FA = c(200, 220, 160, 450) # Final analysis values for the overall population.
#' )
#'
#' hypothesis <- list(
#' H1 = "Efficacy in Population 1", # Hypothesis assessing efficacy in Population 1.
#' H2 = "Efficacy in Population 2", # Hypothesis assessing efficacy in Population 2.
#' H3 = "Efficacy in Overall population" # Hypothesis assessing efficacy in the overall population.
#' H1 = "Efficacy in Population 1",
#' H2 = "Efficacy in Population 2",
#' H3 = "Efficacy in Overall population"
#' )
#'
#' generate_event_table_(event, hypothesis, type = "overlap_population")
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0 EventTable_README.md → inst/aiprompts/EventTable_README.md
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21 changes: 12 additions & 9 deletions man/generate_event_table_.Rd
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9 changes: 6 additions & 3 deletions man/generate_event_table_cc.Rd
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15 changes: 10 additions & 5 deletions man/generate_event_table_ol.Rd
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1 change: 1 addition & 0 deletions vignettes/.gitignore
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*.html
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