Usage
g_waterfall(
  height,
  id,
  col_var = NULL,
  col = getOption("ggplot2.discrete.colour"),
  xlab = NULL,
  ylab = NULL,
  col_legend_title = NULL,
  title = NULL
)Arguments
- height
- ( - numeric)
 vector containing values to be plotted as the waterfall bars.
- id
- ( - character)
 vector containing identifiers to use as the x-axis label for the waterfall bars.
- col_var
- ( - factor,- character, or- NULL)
 categorical variable for bar coloring.- NULLby default.
- col
- ( - character)
 color(s).
- xlab
- ( - string)
 x label. Default is- "ID".
- ylab
- ( - string)
 y label. Default is- "Value".
- col_legend_title
- ( - string)
 text to be displayed as legend title.
- title
- ( - string)
 text to be displayed as plot title.
Examples
library(dplyr)
g_waterfall(height = c(3, 5, -1), id = letters[1:3])
 g_waterfall(
  height = c(3, 5, -1),
  id = letters[1:3],
  col_var = letters[1:3]
)
g_waterfall(
  height = c(3, 5, -1),
  id = letters[1:3],
  col_var = letters[1:3]
)
 adsl_f <- tern_ex_adsl %>%
  select(USUBJID, STUDYID, ARM, ARMCD, SEX)
adrs_f <- tern_ex_adrs %>%
  filter(PARAMCD == "OVRINV") %>%
  mutate(pchg = rnorm(n(), 10, 50))
adrs_f <- head(adrs_f, 30)
adrs_f <- adrs_f[!duplicated(adrs_f$USUBJID), ]
head(adrs_f)
#> # A tibble: 5 × 30
#>   STUDYID COUNTRY SITEID SUBJID   AGE SEX   ARMCD ARM      ACTARMCD ACTARM RACE 
#>   <chr>   <fct>   <chr>  <chr>  <dbl> <fct> <fct> <fct>    <fct>    <fct>  <fct>
#> 1 AB12345 BRA     BRA-1  id-105  37.8 F     ARM A A: Drug… ARM A    A: Dr… ASIAN
#> 2 AB12345 BRA     BRA-1  id-171  29.8 F     ARM B B: Plac… ARM B    B: Pl… ASIAN
#> 3 AB12345 BRA     BRA-1  id-177  38.9 F     ARM B B: Plac… ARM B    B: Pl… ASIAN
#> 4 AB12345 BRA     BRA-1  id-23   41.3 F     ARM A A: Drug… ARM A    A: Dr… AMER…
#> 5 AB12345 BRA     BRA-1  id-59   26.7 F     ARM A A: Drug… ARM A    A: Dr… ASIAN
#> # ℹ 19 more variables: TRTSDTM <dttm>, TRTEDTM <dttm>, EOSDY <dbl>,
#> #   STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, BMRKR2 <fct>, REGION1 <fct>,
#> #   SAFFL <fct>, USUBJID <chr>, AVISIT <fct>, PARAMCD <fct>, PARAM <fct>,
#> #   AVALC <fct>, AVAL <int>, ADTM <date>, AVISITN <dbl>, DTHFL <fct>,
#> #   pchg <dbl>
g_waterfall(
  height = adrs_f$pchg,
  id = adrs_f$USUBJID,
  col_var = adrs_f$AVALC
)
adsl_f <- tern_ex_adsl %>%
  select(USUBJID, STUDYID, ARM, ARMCD, SEX)
adrs_f <- tern_ex_adrs %>%
  filter(PARAMCD == "OVRINV") %>%
  mutate(pchg = rnorm(n(), 10, 50))
adrs_f <- head(adrs_f, 30)
adrs_f <- adrs_f[!duplicated(adrs_f$USUBJID), ]
head(adrs_f)
#> # A tibble: 5 × 30
#>   STUDYID COUNTRY SITEID SUBJID   AGE SEX   ARMCD ARM      ACTARMCD ACTARM RACE 
#>   <chr>   <fct>   <chr>  <chr>  <dbl> <fct> <fct> <fct>    <fct>    <fct>  <fct>
#> 1 AB12345 BRA     BRA-1  id-105  37.8 F     ARM A A: Drug… ARM A    A: Dr… ASIAN
#> 2 AB12345 BRA     BRA-1  id-171  29.8 F     ARM B B: Plac… ARM B    B: Pl… ASIAN
#> 3 AB12345 BRA     BRA-1  id-177  38.9 F     ARM B B: Plac… ARM B    B: Pl… ASIAN
#> 4 AB12345 BRA     BRA-1  id-23   41.3 F     ARM A A: Drug… ARM A    A: Dr… AMER…
#> 5 AB12345 BRA     BRA-1  id-59   26.7 F     ARM A A: Drug… ARM A    A: Dr… ASIAN
#> # ℹ 19 more variables: TRTSDTM <dttm>, TRTEDTM <dttm>, EOSDY <dbl>,
#> #   STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, BMRKR2 <fct>, REGION1 <fct>,
#> #   SAFFL <fct>, USUBJID <chr>, AVISIT <fct>, PARAMCD <fct>, PARAM <fct>,
#> #   AVALC <fct>, AVAL <int>, ADTM <date>, AVISITN <dbl>, DTHFL <fct>,
#> #   pchg <dbl>
g_waterfall(
  height = adrs_f$pchg,
  id = adrs_f$USUBJID,
  col_var = adrs_f$AVALC
)
 g_waterfall(
  height = adrs_f$pchg,
  id = paste("asdfdsfdsfsd", adrs_f$USUBJID),
  col_var = adrs_f$SEX
)
g_waterfall(
  height = adrs_f$pchg,
  id = paste("asdfdsfdsfsd", adrs_f$USUBJID),
  col_var = adrs_f$SEX
)
 g_waterfall(
  height = adrs_f$pchg,
  id = paste("asdfdsfdsfsd", adrs_f$USUBJID),
  xlab = "ID",
  ylab = "Percentage Change",
  title = "Waterfall plot"
)
g_waterfall(
  height = adrs_f$pchg,
  id = paste("asdfdsfdsfsd", adrs_f$USUBJID),
  xlab = "ID",
  ylab = "Percentage Change",
  title = "Waterfall plot"
)
 
