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Line plot with the optional table

Source: R/g_lineplot.R
g_lineplot.Rd

[Stable]

Line plot with the optional table.

Usage

g_lineplot(
  df,
  alt_counts_df = NULL,
  variables = control_lineplot_vars(),
  mid = "mean",
  interval = "mean_ci",
  whiskers = c("mean_ci_lwr", "mean_ci_upr"),
  table = NULL,
  sfun = tern::s_summary,
  ...,
  mid_type = "pl",
  mid_point_size = 2,
  position = ggplot2::position_dodge(width = 0.4),
  legend_title = NULL,
  legend_position = "bottom",
  ggtheme = nestcolor::theme_nest(),
  y_lab = NULL,
  y_lab_add_paramcd = TRUE,
  y_lab_add_unit = TRUE,
  title = "Plot of Mean and 95% Confidence Limits by Visit",
  subtitle = "",
  subtitle_add_paramcd = TRUE,
  subtitle_add_unit = TRUE,
  caption = NULL,
  table_format = summary_formats(),
  table_labels = summary_labels(),
  table_font_size = 3,
  newpage = TRUE,
  col = NULL
)

Arguments

df

(data.frame)
data set containing all analysis variables.

alt_counts_df

(data.frame or NULL)
data set that will be used (only) to counts objects in strata.

variables

(named character vector) of variable names in df data set. Details are:

  • x (character)
    name of x-axis variable.

  • y (character)
    name of y-axis variable.

  • strata (character)
    name of grouping variable, i.e. treatment arm. Can be NA to indicate lack of groups.

  • cohort_id (character)
    name of the variable that identifies group belonging. Only applies if strata is not NULL.

  • paramcd (character)
    name of the variable for parameter's code. Used for y-axis label and plot's subtitle. Can be NA if paramcd is not to be added to the y-axis label or subtitle.

  • y_unit (character)
    name of variable with units of y. Used for y-axis label and plot's subtitle. Can be NA if y unit is not to be added to the y-axis label or subtitle.

mid

(character or NULL)
names of the statistics that will be plotted as midpoints. All the statistics indicated in mid variable must be present in the object returned by sfun, and be of a double or numeric type vector of length one.

interval

(character or NULL)
names of the statistics that will be plotted as intervals. All the statistics indicated in interval variable must be present in the object returned by sfun, and be of a double or numeric type vector of length two.

whiskers

(character)
names of the interval whiskers that will be plotted. Must match the names attribute of the interval element in the list returned by sfun. It is possible to specify one whisker only, lower or upper.

table

(character or NULL)
names of the statistics that will be displayed in the table below the plot. All the statistics indicated in table variable must be present in the object returned by sfun.

sfun

(closure)
the function to compute the values of required statistics. It must return a named list with atomic vectors. The names of the list elements refer to the names of the statistics and are used by mid, interval, table. It must be able to accept as input a vector with data for which statistics are computed.

...

optional arguments to sfun.

mid_type

(character)
controls the type of the mid plot, it can be point (p), line (l), or point and line (pl).

mid_point_size

(integer or double)
controls the font size of the point for mid plot.

position

(character or call)
geom element position adjustment, either as a string, or the result of a call to a position adjustment function.

legend_title

(character string)
legend title.

legend_position

(character)
the position of the plot legend (none, left, right, bottom, top, or two-element numeric vector).

ggtheme

(theme)
a graphical theme as provided by ggplot2 to control styling of the plot.

y_lab

(character)
y-axis label. If equal to NULL, then no label will be added.

y_lab_add_paramcd

(logical)
should paramcd, i.e. unique(df[[variables["paramcd"]]]) be added to the y-axis label y_lab?

y_lab_add_unit

(logical)
should y unit, i.e. unique(df[[variables["y_unit"]]]) be added to the y-axis label y_lab?

title

(character)
plot title.

subtitle

(character)
plot subtitle.

subtitle_add_paramcd

(logical)
should paramcd, i.e. unique(df[[variables["paramcd"]]]) be added to the plot's subtitle subtitle?

subtitle_add_unit

(logical)
should y unit, i.e. unique(df[[variables["y_unit"]]]) be added to the plot's subtitle subtitle?

caption

(character)
optional caption below the plot.

table_format

(named character or NULL)
format patterns for descriptive statistics used in the (optional) table appended to the plot. It is passed directly to the h_format_row function through the format parameter. Names of table_format must match the names of statistics returned by sfun function.

table_labels

(named character or NULL)
labels for descriptive statistics used in the (optional) table appended to the plot. Names of table_labels must match the names of statistics returned by sfun function.

table_font_size

(integer or double)
controls the font size of values in the table.

newpage

(logical)
should plot be drawn on new page?

col

(character)
colors.

Value

A ggplot line plot (and statistics table if applicable).

Examples

library(nestcolor)

adsl <- tern_ex_adsl
adlb <- tern_ex_adlb %>% dplyr::filter(ANL01FL == "Y", PARAMCD == "ALT", AVISIT != "SCREENING")
adlb$AVISIT <- droplevels(adlb$AVISIT)
adlb <- dplyr::mutate(adlb, AVISIT = forcats::fct_reorder(AVISIT, AVISITN, min))

# Mean with CI
g_lineplot(adlb, adsl, subtitle = "Laboratory Test:")


# Mean with CI, no stratification
g_lineplot(adlb, variables = control_lineplot_vars(strata = NA))


# Mean, upper whisker of CI, no strata counts N
g_lineplot(
  adlb,
  whiskers = "mean_ci_upr",
  title = "Plot of Mean and Upper 95% Confidence Limit by Visit"
)


# Median with CI
g_lineplot(
  adlb,
  adsl,
  mid = "median",
  interval = "median_ci",
  whiskers = c("median_ci_lwr", "median_ci_upr"),
  title = "Plot of Median and 95% Confidence Limits by Visit"
)


# Mean, +/- SD
g_lineplot(adlb, adsl,
  interval = "mean_sdi",
  whiskers = c("mean_sdi_lwr", "mean_sdi_upr"),
  title = "Plot of Median +/- SD by Visit"
)


# Mean with CI plot with stats table
g_lineplot(adlb, adsl, table = c("n", "mean", "mean_ci"))


# Mean with CI, table and customized confidence level
g_lineplot(
  adlb,
  adsl,
  table = c("n", "mean", "mean_ci"),
  control = control_analyze_vars(conf_level = 0.80),
  title = "Plot of Mean and 80% Confidence Limits by Visit"
)


# Mean with CI, table, filtered data
adlb_f <- dplyr::filter(adlb, ARMCD != "ARM A" | AVISIT == "BASELINE")
g_lineplot(adlb_f, table = c("n", "mean"))