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Plot PM_data Time-Output Data

Source: R/plotPMmatrix.R
plot.PM_data.Rd

[Stable]

Plots PM_data objects

Usage

# S3 method for PM_data
plot(
  x,
  include = NA,
  exclude = NA,
  line = list(join = TRUE, pred = FALSE),
  marker = TRUE,
  color = NULL,
  colors = "Set1",
  names = NULL,
  mult = 1,
  outeq = 1,
  block = 1,
  tad = FALSE,
  overlay = TRUE,
  legend,
  log = FALSE,
  grid = FALSE,
  xlab = "Time",
  ylab = "Output",
  title = "",
  xlim,
  ylim,
  ...
)

Arguments

x

The name of an PM_data data object or loaded as a field in a PM_result object

include

A vector of subject IDs to include in the plot, e.g. c(1:3,5,15)

exclude

A vector of subject IDs to exclude in the plot, e.g. c(4,6:14,16:20)

line

Controls characteristics of lines as for all plotly plots. Here line is a list of two elements:

  • join Can either be a boolean or a list. If set to TRUE or a list of plotly line attributes, it will generate line segments joining observations. If set to FALSE, no segments will be generated. The default values for the elements of the join list, all of which can be overriden are:

    • color Color of the segments. Default is "dodgerblue".

    • width Width of the segments, default 1.

    • dash See plotly::schema(), traces > scatter > attributes > line > dash > values. Default is "solid". Example: line = list(join = list(color = "red", dash = "longdash", width = 2))

  • pred Default is FALSE, which means that predictions will not be included in the plot. To include predictions, supply the name of a population or posterior prediction object in a PM_result object, eg. run1$post or run1$pop. To format the predictions, supply pred as a list, with the prediction object first, followed by named options to control the prediction plot:

  • icen Chooses the median or mean of each subject's Bayesian posterior parameter distribution. Default is "median", but could be "mean".

  • Other parameters to pass to plotly to control line characteristics that join the predictions, including color, width, and dash. For example: pred = list(run1$post, icen = "mean", color = "red", width = 2). Default formats are the same as for the join argument, since normally one would not plot both lines joining observations and prediction lines, i.e., typical use would be line = list(join = F, pred = run1$post).

marker

Formats the symbols plotting observations. Controls the plotting symbol for observations. This argument maps to the plotly marker object. It can be boolean or a list. TRUE will plot the marker with default characteristics. FALSE will suppress marker plotting. If a list, can control many marker characteristics, including overriding defaults. Use the plotly plotly::schema() command in the console and navigate to traces > scatter > attributes > marker to see all the ways the marker can be formatted. Most common will be:

  • color Marker color.

  • symbol Plotting character. See plotly::schema(), traces > scatter > attributes > marker > symbol > values.

  • size Character size in points.

  • opacity Ranging between 0 (fully transparent) to 1 (fully opaque).

  • line A list of additional attributes governing the outline for filled shapes, most commonly color and width.

Example: marker = list(color = "red", symbol = "triangle", opacity = 0.8, line = list(color = "black", width = 2))

color

Character vector naming a column in x to group by, e.g. "id" or a covariate like "gender"

colors

to use for groups. This can be a palette or a vector of colors. For accepted palette names see RColorBrewer::brewer.pal.info. Examples include "BrBG", or "Set2". An example vector could be c("red", "green", "blue"). It is not necessary to specify the same number of colors as groups within color, as colors will be interpolated to generate the correct number. The default when color is specified is the "Set1" palette.

names

A character vector of names to label the groups if legend = T. This vector does need to be the same length as the number of groups within color. Example: c("Male", "Female") if color = "gender" and "gender" is a covariate in the data.

mult

Multiplication factor for y axis, e.g. to convert mg/L to ng/mL

outeq

Which output equation to plot. Default is 1. Default is 1, but can be multiple if present in the data, e.g. 1:2 or c(1, 3).

block

Which block to plot, where blocks are defined by dose reset events (EVID = 4) in the data. Default is 1, but can be multiple if present in the data, as for outeq.

tad

Boolean operator to use time after dose rather than time after start. Default is FALSE.

overlay

Operator to overlay all time concentration profiles in a single plot. The default is TRUE. If FALSE, will trellisplot subjects one at a time. Can also be specified as a vector with number of rows and columns, e.g. c(3, 2) for 3 rows and 2 columns of subject splots to include in each trellis.

legend

Controls display of legend. This argument maps to the plotly layout showlegend and legend arguments. It is either a boolean operator (most common) or a list of parameters to be supplied to plotly. See plotly::schema() > layout > layoutAttributes > legend and showlegend for more details on the available options for formatting. If legend is supplied as a list, the plotly layout > layoutAttributes > showlegend value will be set to TRUE automatically.

Examples:

  • legend = T

  • legend = list(orientation = "h", font = list(color = "blue"))

Default is FALSE unless groups are specified with colorabove.

log

Boolean operator to plot the y axis in log base 10. This argument maps to the the yaxis type value in the layout object in plotly. Use the plotly plotly::schema() command in the console and navigate to layout > layoutAttributes > yaxis > type.

Example: log = T

grid

Controls grid display. This argument maps to the xaxis and yaxis layout objects in plotly. Use the plotly plotly::schema() command in the console and navigate to layout > layoutAttributes > xaxis or yaxis > gridcolor or gridwidth. It is a Boolean operator. If FALSE, no grid is plotted. If TRUE, the default color grey and width 1 will be plotted at major tick marks. If a list, color and width can be customized.

Examples:

  • grid = F

  • grid = list(gridcolor = "black", gridwidth = 2)

xlab

Value for x axis label. This argument maps to the the xaxis title element of the layout object in plotly. It can simply be a character vector of length 1 that specifies the name of the axis, or it can be a list for greater control. Use the plotly plotly::schema() command in the console and navigate to layout > layoutAttributes > xaxis > title to see the ways to customize this axis label. In addition to the plotly attributes, a custom Pmetrics attribute bold may be included as a list element, either on its own or within the font list. The default for bold is TRUE.

Examples:

  • xlab = "Time (h)"

  • xlab = list(text = "Time", bold = F, font = list(color = "red", family = "Arial", size = 10))

  • xlab = list(text = "Time", font = list(bold = T))

Default is "Time".

ylab

Value for y axis label. This argument maps to the the yaxis title element of the layout object in plotly. See xlab for details. If xlab is specified as a list with formatting, and ylab is simply a character label, then the formatting for the xlab will be applied to the ylab. To format ylab independently, specify a formatting list as for xlab.

Default is "Output".

title

Plot title. This argument maps to the the title layout object in plotly. It can simply be a character vector of length 1 that specifies the name of the plot title, or it can be a list for greater control. Use the plotly plotly::schema() command in the console and navigate to layout > layoutAttributes > title to see other ways to customize the title using lists as additional arguments. In addition to the plotly attributes, a custom Pmetrics attribute bold may be included as a list element. The default for bold is TRUE.

Examples:

  • title = "Observed vs. Predicted"

  • title = list(text = "Raw Data", font = list(color = "red", family = "Arial", size = 10, bold = T))

Default is to have no title.

xlim

Limits of the x axis as a vector. This argument maps to the the xaxis range in the layout object in plotly. Use the plotly plotly::schema() command in the console and navigate to layout > layoutAttributes > xaxis > range.

Example: xlim = c(0,1)

ylim

Limits of the y axis as a vector. This argument maps to the the yaxis range in the layout object in plotly. Use the plotly plotly::schema() command in the console and navigate to layout > layoutAttributes > yaxis > range.

Example: ylim = c(0,100)

...

Other attributes which can be passed to the layout > xaxis/yaxis in a plotly plot to further control formatting. Note that log, xlab, ylab, xlim, and ylim are all controlled by the layout object, but are provided throughout Pmetrics plotly function arguments as shortcuts that map to layout elements. Therefore, the dots argument should be used to specify other aspects of the x axis, y axis, or both. See plotly::schema() layout > layoutAttributes > xaxis/yaxis for options. To add to single axis, name it as a list. If attributes are specified without an enclosing xaxis or yaxis list, they will be applied to both axes.

Examples:

  • NPex$data$plot(xaxis = list(tickcolor = "black", tickfont = list(family = "Arial", size = 14, color = "black"))) #applies to x axis only

  • NPex$data$plot(linecolor = "red", ticks = "inside") #applies to both axes

.

Value

Plots the object.

Details

This function will plot raw and fitted time and concentration data with a variety of options. By default markers are included and have the following plotly properties: list(symbol = "circle", color = "red", size = 10, opacity = 0.5, line = list(color = "black", width = 1)). Markers can be joined by lines, default is FALSE. If chosen to be TRUE, the joining lines will have the following properties: list(color = "dodgerblue", width = 1, dash = "solid". The grid and legend are omitted by default.

See also

PM_data, PM_result

Other PMplots: plot.MMopt(), plot.PM_cov(), plot.PM_cycle(), plot.PM_final(), plot.PM_model(), plot.PM_op(), plot.PM_pta(), plot.PM_sim(), plot.PM_valid()

Author

Michael Neely

Examples

library(PmetricsData)
# basic spaghetti plot
dataEx$plot()


# format line and marker
dataEx$plot(
  marker = list(color = "blue", symbol = "square", size = 12, opacity = 0.4),
  line = list(join = list(color = "orange"))
)


# include predictions with default format and suppress joining lines
dataEx$plot(
  line = list(join = FALSE, pred = NPex$post),
  xlim = c(119, 146)
)


# customize prediction lines
dataEx$plot(
  line = list(
    pred = list(NPex$post, color = "slategrey", dash = "dash"),
    join = FALSE
  )
)