Package 'qreport'

Description

Add Figure Captions to a Dataset

Usage

addCap(label = NULL, cap = NULL, scap = NULL)

Arguments

Details

Fetches the figure caption and optional short caption from the currently running code chunk (under knitr) and appends them to a running caption dataset named .captions. in the global environment. This facilites customizing a table of figures in a report.

Value

invisible list with label, cap, scap

Author(s)

Frank Harrell

Examples

## Not run: 
# Called from inside a knitr chunk and all information pulled from
# chunk information
addCap()

## End(Not run)

Description

Generates graphics for binary event proportions

Usage

aePlot(
  formula,
  data = NULL,
  subset = NULL,
  na.action = na.retain,
  exposure = NULL,
  expunit = "",
  study = " ",
  refgroup = NULL,
  minincidence = 0,
  conf.int = 0.95,
  etype = "adverse events",
  head = NULL,
  tail = NULL,
  size = c("regular", "wide"),
  popts = NULL,
  label = NULL
)

Arguments

Details

Generates dot charts showing proportions of subjects having events (at any time). Events can be categorized by a single level or by major and minor levels (e.g., body system and preferred terms). When there are two treatments, half-width CLs of treatment differences are drawn, centered at the midpoint of the two proportions, and CLs for differences appear in hover text. Input data must contain one record per event, with this record containing the event name. If there is more than one event of a given type per subject, unique subject ID must be provided. Denominators come from qreport options when computing event incidence proportions. Instead, when a named vector exposure is specified, with names equal to the treatments, exposure is used as the denominator so that the exponential distribution hazard rate is computed, i.e., events per unit of exposure time. When a subject has only one event of each type, the usual interpretation holds. When a subject has multiple events, the estimate is events per person per time unit. A character variable expunit defines the time units. It is assumed that only randomized subjects are included in the dataset. Whenever the number of events of a given type is zero for a group, the event frequency is changed to 0.5 so that one may compute confidence intervals on the log scale as well as hazard ratios.

For an example with output see https://hbiostat.org/rflow/descript.html#adverse-event-chart/

Value

no return value, called for knitting with knitr

Author(s)

Frank Harrell

Examples

# See test.Rnw in tests directory

Description

Convert Vector of Variables Names to a Right-Sided Formula

Usage

asForm(x)

Arguments

Details

Given a vector of character strings, turns them into a formula with no left hand side variable.

Value

formula

Author(s)

Frank Harrell

Examples

asForm(letters[1:6])

Description

Find Continuous Variables

Usage

conVars(...)

Arguments

Details

Uses [varType()] to type the variables then retrieves the vector of names of continuous ones.

Value

character vector

Author(s)

Frank Harrell

Examples

## Not run: 
conVars(mydata)

## End(Not run)

Description

Run a Series of Data Checks and Report

Usage

dataChk(
  d,
  checks,
  id = character(0),
  html = FALSE,
  omit0 = FALSE,
  byid = FALSE,
  nrows = 500
)

Arguments

Details

Function to run various data checks on a data table.

Checks are run separately for each part of the expression vector checks. For each single expression, the variables listed in the output are all the variables mentioned in the expression plus optional variables whose names are in the character vector id. ⁠%between% c(a,b)⁠ in expressions is printed as ⁠[a,b]⁠. The output format is plain text unless html=TRUE which also puts each table in a separate Quarto tab. See here for examples.

Value

an invisible data frame containing variables check (the expression checked) and n (the number of records satisfying the expression)

Author(s)

Frank Harrell

Examples

## Not run: 
dataChk(mydata)

## End(Not run)

Description

Produce a Data Overview Quarto Section

Usage

dataOverview(
  d,
  d2 = NULL,
  id = NULL,
  plot = c("scatter", "dot", "none"),
  pr = nvar <= 50,
  which = 1,
  dec = 3
)

Arguments

Details

Produces a multi-tabbed dataset overview as exemplified here. This includes provision of data about data such as variable type, symmetry, missingness, rarest and most common values.

Value

nothing; renders a report with Quarto/RMarkdown

Author(s)

Frank Harrell

Examples

## Not run: 
dataOverview(mydata, secondarydataset)

## End(Not run)

Description

Find Discrete Variables

Usage

disVars(...)

Arguments

Details

Uses [varType()] to type the variables then retrieves the vector of names of discrete ones.

Value

character vector

Author(s)

Frank Harrell

Examples

## Not run: 
disVars(mydata)

## End(Not run)

Description

Create an html base64 string from a png graphic to draw needles for current sample sizes. Uses colors set by call to setqreportOptions.

Usage

dNeedle(sf, study = " ")

Arguments

Value

a base64 representation of a png graphic, suitable for inclusion in html

Examples

setqreportOption(tx.var='treatment', denom=c(enrolled=1000, randomized=800, a=398, b=402))
dNeedle(sampleFrac(getqreportOption('denom')))

Description

Get qreport options, assigning default values of unspecified options.

Usage

getqreportOption(opts = NULL, study = " ")

Arguments

Value

getching qreport options

Examples

## Not run: 
getqreportOption('tx.var')

## End(Not run)

Description

Set knitr to Automatically Call addCap in Figure-Producing Chunks

Usage

hookaddcap(loc = NULL)

Arguments

Details

Adds a knitr hook that takes effect before the chunk is run. The hook function retrieves figure information from the current chunk to give to addCap.

Value

nothing; calls knitr hook and chunk option setting functions

Author(s)

Frank Harrell

Examples

## Not run: 
hookaddcap()

## End(Not run)

Description

Create knitr Hook for Reporting Execution Time for Chunks

Usage

hooktime(all = FALSE)

Arguments

Details

Creates a hook called time that can be activated by including time=TRUE in a chunk header. The chunk's execution time in seconds will be printed in a very small html font at the end of the chunk's output.

Value

nothing

Author(s)

Frank Harrell

See Also

this and timeMar()

Description

Print Named List of Vectors

Usage

htmlList(x, dec = 4)

Arguments

Details

Function to print a simple named list of vectors in html Creates a column name from the names of the list If a vector element of the list is numeric, it is rounded to dec digits to the right of the decimal place.

Value

a kable

Author(s)

Frank Harrell

Examples

set.seed(1)
w <- list(A = runif(4), B=rnorm(3))
htmlList(w)

Description

Convert Objects to HTML and View

Usage

htmlView(...)

Arguments

Details

Converts a series of objects created to html. Displays these in the RStudio View pane. If RStudio is not running displays in an external browser. Assumes there is an html method for the objects (e.g., objects are result of Hmisc::describe or Hmisc::contents. User can page through the different outputs with the arrow keys in the RStudio View pane

Value

nothing is returned; used to launch a browser on html text

Author(s)

Frank Harrell

Examples

## Not run: 
 htmlView(contents(d1), contents(d2))
 htmlView(describe(d1), describe(d2, descript='Second Dataset'))
 htmlView(contents(d), describe(d))

## End(Not run)

Description

Convert to HTML and Eternally View Objects

Usage

htmlViewx(..., tab = c("notfirst", "all", "none"))

Arguments

Details

'htmlViewx' is similar to 'htmlView' except that an external viewer is launched, and the first object is opened in a new window. Subsequent objects are opened in a new tab in the last created window. Set ‘options(vbrowser=’command line to run browser')' to use a browser other than 'Vivaldi'. Defaults to opening a new window for only the first object, and adding tabs after that.

Value

does not return a value; launches a browser

Author(s)

Frank Harrell

Examples

## Not run: 
options(prType='html')
htmlViewx(contents(d), describe(d))

## End(Not run)

Description

Front-end to kable and kables

Usage

kabl(..., caption = NULL, digits = 4, col.names = NA, row.names = NA)

Arguments

Details

Calls kable() if only one table is to be printed. Calls kable() for each table and passes it to kables if more than one. Accounts for results of tapply not being a vector (is an array)

Value

result of kable or kables

Author(s)

Frank Harrell

Examples

kabl(data.frame(a=1:2, b=3:4), data.frame(x=11:13, y=21:23))

Description

General Case Handling of Quarto Callouts

Usage

makecallout(...)

Arguments

Details

This function generates and optionally runs markdown/R code that runs Quarto callouts such as collapsible notes or marginal notes. Before rendering x, options(rawmarkup=TRUE) is set so that Hmisc::rendHTML will not try to protect html in things like margins. Quarto doesn't like the surrounding html protection lines in that context. The option is set back to its original value after rendering.

Value

if code is not executed, returns a character vector with the code to run

Author(s)

Frank Harrell

Examples

x <- 1:3
co <- '.callout-note collapse="true'
makecallout(x, callout=co, label='# thislabel', type='print')
makecallout(thislabel ~ x, callout=co, type='print')

Description

Print an Object in a Collapsible Note

Usage

makecnote(
  x,
  label = paste0("`", deparse(substitute(x)), "`"),
  wide = FALSE,
  type = c("print", "run", "cat"),
  ...
)

Arguments

Details

Prints an object in a Quarto collapsible note.

Value

nothing is returned, used for rendering markup

Author(s)

Frank Harrell

Examples

makecnote('This is some text', label='mylab', wide=TRUE)

Description

Create Text for Running Code Chunk

Usage

makecodechunk(
  cmd,
  opts = NULL,
  results = "asis",
  lang = "r",
  callout = NULL,
  h = NULL,
  w = NULL
)

Arguments

Details

Creates text strings suitable for running through knitr. The chunk is given a random name because certain operations are not allowed by knitr without it.

Value

character vector

Author(s)

Frank Harrell

Examples

makecodechunk('x <- pi; print(x)')

Description

Put an Object in the Margin

Usage

makecolmarg(x, type = c("print", "run", "cat"), ...)

Arguments

Details

Prints an object in a Quarto column margin.

Value

nothing is returned, used to render markup

Author(s)

Frank Harrell

Examples

makecolmarg(data.frame(x=1:3, y=4:6))

Description

Takes a character string or vector and creates a graphviz dot flowchart from the input. There are two kinds of input strings or lines. One defines nodes, the syntax being nodename:string where nodename is any valid graphviz node name and string represents a character string with possible variable value substitutions of the form {{variablename}}. string is automatically wrapped by having newline characters inserted to keep lines within width characters. The second kind of input line is one specifying node connections with graphviz dot syntax, respecting node names defined in earlier strings. Unlike makegvflow(), this approach allows a node to connect to any number of other nodes, and allows any flow direction.

Usage

makedot(
  .object.,
  ...,
  direction = c("TD", "LR"),
  shape = "box",
  fontsize = 24,
  nodesetup = NULL,
  file,
  width = 30,
  onlyprint = FALSE
)

Arguments

```{dot}
//| label: fig-flow1
//| fig-height: 4
//| fig-cap: "Chart caption"
//| file: graphviz.dot
```

Details

If a node label contains ⁠\\n⁠, all ⁠\\n⁠ are replaced with ⁠\n⁠ and ordinary word wrapping is suppressed. This is how users take control of line splitting. If a node label ends in ⁠//any text⁠, the text in ⁠any text⁠ will be copied to inside the node definition after the label is closed with double quote and after a space is added. This allows node colors and other attributes to be changed.

Preceed single quotes in node labels with a single backslash. Preceed double quotes with double backslashes.

The function uses knitr::knit_expand() to apply variable insertions before the diagram is rendered by Quarto. See this for an example. ##' @title makedot

Value

nothing; used to knitr::knit_expand() graphviz markup

Author(s)

Frank Harrell

See Also

makegraphviz(), makegvflow()

Examples

x <- '
A:Some string of text for {{jj}}
B:Another string of test, this one being longer and needing breaking
C:A third string defining a node//style="filled,rounded", fillcolor=lightblue
A -> B
B -> C [label="some text along connecting arc"]
C -> A'
# Can also use A -> {B, C}
makedot(x, jj='tiger', onlyprint=TRUE)

Description

Create a Quarto Graphviz dot Diagram Chunk With Variable Insertions

Usage

makegraphviz(.object., ..., file)

Arguments

```{dot}
//| label: fig-doverview-graphviz
//| fig-height: 4
//| fig-cap: "Consort diagram produced with `graphviz` with detailed exclusion frequencies in a separate node"
//| file: graphviz.dot
```

Details

Takes a character string or vector and uses knitr::knit_expand() to apply variable insertions before the diagram is rendered by Quarto. See this for an example. Unlike mermaid, graphviz can include user-defined linkages to specific parts of a node (e.g., a single word in a line of text) to another part of the chart, and can render tables. If an inclusion is ... is a data frame or table, it will be properly rendered inside the diagram.

Value

nothing; used to knitr::knit_expand() graphviz markup

Author(s)

Frank Harrell

See Also

makemermaid(), makegvflow(), makedot()

Description

Takes a character string or vector and creates a graphviz flowchart from the hierarchy indicated by the number of indended spaces in each line. The text for the root levels is not indented, and major, minor, and tiny levels are indented 2, 4, or 6 spaces, respectively. Default color, font size, and fill color are chosen so that the chart is suitable for presentations. Simple $LaTeX$ math markup is converted to simple HTML markup using tth::tth(). Text lines are automatically wrapped to keep text boxes from being too wide. Text lines beginning with "+" are combined with the previous major, minor, or tiny text line but separated by a double line break (single break if lbdouble=FALSE).

Usage

makegvflow(
  .object.,
  ...,
  direction = c("TD", "LR"),
  style = "filled",
  shape = "box",
  font = "Times-Roman",
  fontsize = 18,
  fontcolor = "blue",
  fillcolor = "azure",
  penwidth = 0.1,
  arrowcolor = "blue3",
  arrowsize = 0.7,
  width = 30,
  lbdouble = TRUE,
  extracon = NULL,
  file,
  onlyprint = FALSE
)

Arguments

```{dot}
//| label: fig-flow1
//| fig-height: 4
//| fig-cap: "Chart caption"
//| file: graphviz.dot
```

Details

The function uses knitr::knit_expand() to apply variable insertions before the diagram is rendered by Quarto. See this for an example. ##' @title makegvflow

Value

nothing; used to knitr::knit_expand() graphviz markup

Author(s)

Frank Harrell

See Also

makegraphviz()

Examples

x <- '
Root text
  Major 1
    Minor 11 {{jj}}
    Minor 12
  Major 2
    Minor 21
    Minor 22
    Minor 23 that is very very long and just keeps going
      tiny 231 and $\\alph + \\sum_{i=1}^{n}X_{i}$
      tiny 232
      + a second line for tiny 232 that is pretty long
      + a third line for tiny 232
  Major 3
    Minor 31
      tiny 311'
makegvflow(x, extracon='n12 -> n21', jj='tiger', onlyprint=TRUE)

Description

Create a Quarto Mermaid Diagram Chunk With Variable Insertions

Usage

makemermaid(.object., ..., file)

Arguments

```{mermaid}
%%| fig-cap: "Consort diagram produced by `mermaid`"
%%| label: fig-mermaid1
%%| file: mermaid1.mer
```

Details

Takes a character string or vector and uses knitr::knit_expand() to apply variable insertions before the diagram is rendered by Quarto. See this for an example.

Value

nothing; used to knitr::knit_expand() mermaid markup

Author(s)

Frank Harrell

See Also

makegraphviz()

Description

Make Quarto Tabs

Usage

maketabs(
  ...,
  wide = FALSE,
  cwidth = if (wide) "column-page",
  initblank = FALSE,
  baselabel = NULL,
  cap = NULL,
  basecap = NULL,
  debug = FALSE
)

Arguments

Details

Loops through a series of formulas or elements of a named list and outputs each element into a separate Quarto tab. wide and column arguments are used to expand the width of the output outside the usual margins. An initblank argument creates a first tab that is empty, or you can specify a formula ⁠ ⁠ ~ ⁠ ⁠. This allows one to show nothing until one of the other tabs is clicked. Multiple commands can be run in one chunk by including multiple right hand terms in a formula. A chunk can be marked for producing raw output by including a term raw somewhere in the formula's right side. If can be marked for constructing a label and caption by including ⁠+ caption(caption string, label string)⁠. The tab number is appended to the label string, and if the label is not provided baselabel will be used.

Value

nothing is returned; used to render markup

Author(s)

Frank Harrell

Examples

X <- list(A=data.frame(x=1:2), B=data.frame(x=1:2, y=11:12))
maketabs(X)

Description

Produce a Report Section Detailing Missing Values in a Dataset

Usage

missChk(
  data,
  use = NULL,
  exclude = NULL,
  type = c("report", "seq"),
  maxpat = 15,
  maxcomb = 25,
  excl1pat = TRUE,
  sortpatterns = TRUE,
  prednmiss = FALSE,
  omitpred = NULL,
  baselabel = NULL,
  ...
)

Arguments

Details

Quantifies frequencies of missing observations on a variable and missing variables on an observaton and produces variables tables and (depending on the number of NAs) multiple graphic displays in Quarto tabs. The results are best understood by referring to this.

Value

nothing; outputs Quarto/RMarkdown text and tabs for a full report section

Author(s)

Frank Harrell

Examples

## Not run: 
missChk(mydata)

## End(Not run)

Description

Multiple Dataset Overview

Usage

multDataOverview(X, id = NULL)

Arguments

Details

Provides an overview of the data tables inside a giant list. The result returned (invisible) is a data table containing for each variable a comma-separated list of datasets containing that variable (other than id variables).

Value

invisibly, a data table

Author(s)

Frank Harrell

See Also

dataOverview()

Examples

## Not run: 
multDataOverview(list(data1=mydata1, data2=mydata2), id = ~ subject.id)

## End(Not run)

Description

If options(dumpfile="...") is set, uses Hmisc::prn() to print objects for debugging

Usage

pdumpit(x, txt = as.character(substitute(x)))

Arguments

Value

no result, used only for printing debugging information

Author(s)

Frank Harrell

Description

Pretty Printing of Captions Dataset

Usage

printCap(book = FALSE)

Arguments

Details

Uses kable to print the caption information saved in .captions..

Value

kable object

Author(s)

Frank Harrell

Examples

## Not run: 
princCap()

## End(Not run)

Description

Create Quarto Figure Caption

Usage

putQcap(..., scap = NULL, label = NULL)

Arguments

Details

Creates a Quarto label and caption and uses addCap() to add to running list of figures

Value

string vector with YAML components label, fig-cap, fig-scap

Author(s)

Frank Harrell

Examples

putQcap('First part of caption', 'second part', scap='subcaption', label='xx')

Description

Apply Derived Variable Specifications

Usage

runDeriveExpr(d, derv, pr = TRUE)

Arguments

Details

Function to apply derived variable specifications derv to a data table d. Actions on d are done in place, so call the function using ⁠runDeriveExpr(d, derv object)⁠ and not by running ⁠d <- runDeriveExpr(d, derv object)⁠. See this for an example.

Value

nothing; used to print information and add variables to data table

Author(s)

Frank Harrell

Examples

require(data.table)
d <- data.table(ht=c(68,  60), wt=c(280, 135), chol=c(120, 150))
derived <- list(
  list(bmi = expression(703 * wt / ht ^ 2),
       label='Body Mass Index',
       units='Kg/m^2'),
  list(bsa=expression(0.007184 * (0.4536 * wt) ^ 0.425 * (2.54 * ht) ^ 0.725),
       label='Body Surface Area',
       units='m^2', drop=.q(wt, ht) )   )
runDeriveExpr(d, derived)
print(d)
contents(d)

Description

Protecting Backticks for Illustrating In-line R Code

Usage

rwrap(x)

Arguments

Details

This function pastes back ticks around a string so those extra back ticks don't have to appear in the user's code in a report. This prevents Quarto from intervening.

Value

x surrounded by backtick r and backtick

Author(s)

Frank Harrell

Examples

rwrap('pi')

Description

Uses denominators stored with setqreportOption along with counts specified to SampleFrac to compute fractions of subjects in current analysis

Usage

sampleFrac(n, nobsY = NULL, table = TRUE, study = " ")

Arguments

Value

named vector of relative sample sizes with an attribute table with frequency counts

Examples

setqreportOption(tx.var='treatment', denom=c(enrolled=1000, randomized=800, a=398, b=402))
sampleFrac(getqreportOption('denom'))

Description

Save Caption Dataset in External File

Usage

saveCap(basename)

Arguments

Details

Uses base::saveRDS() to save the .captions. dataset to a user file.

Value

nothing; used to create a saved RDS dataset of caption information

Author(s)

Frank Harrell

Examples

## Not run: 
saveCap('chapter3')

## End(Not run)

Description

Separate Chunk Plot

Usage

scplot(command, cap = NULL, scap = NULL, w = 5, h = 4, id = NULL)

Arguments

Details

Runs a plot on its own Rmarkdown/Quarto knitr Chunk. The plot will have its own caption and size, and short captions are placed in the markdown TOC

Expressions cannot be re-used, i.e., each expression must evaluate to the right quantity after the chunk in which the scplot calls are made is finished, and the new constructed chunk is input. To input and run the constructed chunk: ⁠{r child='scplot.Rmd'}⁠ preceeded and following by 3 back ticks. Hmisc::putHcap is used to markup regular and short captions ⁠cap, scap⁠. Short caption appears in TOC. If no scap, then cap is used for this. To change the putHcap subsub argument set options(scplot.subsub='## ') for example.

Value

no value return; outputs R Markdown/Quarto markup

Author(s)

Frank Harrell

Examples

## Not run: 
scplot(id='chunkid')   # initialize output file scplot.Rmd
# or use scplot() to use the current chunk name as the id
# scplot(plotting expression, caption, optional short caption, w, h)
# scplot(plotting expression ...)

## End(Not run)

Description

Set qreport options, assigning certain defaults

Usage

setqreportOption(..., study = " ")

Arguments

Value

no returned value, used to set options()

Examples

setqreportOption(tx.var='treatment', denom=c(enrolled=1000, randomized=800, a=398, b=402))

Description

Set Nice Defaults for Base Graphics Parameters

Usage

spar(
  mar = if (!axes) c(2.25 + 0.6 + bot - 0.45 * multi, 2 * (las == 1) + 2.2 + left, 0.5 +
    top + 0.25 * multi, 0.5 + rt) else c(3.25 + 0.6 + bot - 0.45 * multi, 2 * (las == 1)
    + 3.7 + left, 0.5 + top + 0.25 * multi, 0.5 + rt),
  lwd = if (multi) 1 else 1.75,
  mgp = if (!axes) mgp = c(0.75, 0.1, 0) else if (multi) c(1.5 + 0.83, 0.365 - 0.03, 0)
    else c(2.4 - 0.4 + 0.83, 0.475 - 0.03, 0),
  tcl = if (multi) -0.25 else -0.4,
  xpd = FALSE,
  las = 1,
  bot = 0,
  left = 0,
  top = 0,
  rt = 0,
  ps = if (multi) 12 else 15,
  mfrow = NULL,
  axes = TRUE,
  cex.lab = 1.15,
  cex.axis = 0.8,
  ...
)

Arguments

Details

This function tries to set graphics::par() to make base graphics look more publication-ready.

Value

nothing; side effect of setting par()

Author(s)

Frank Harrell

Examples

## Not run: 
spar(top=2, bot=1)  # leave extra space for titles

## End(Not run)

Description

Time an Expression and Report in Quarto Margin

Usage

timeMar(x)

Arguments

Details

Function to time an expression, printing the result of base::system.time() in the right margin, and storing the result of system.time in .systime. in the global environment so tha the user can refer to it.

Value

invisibly, the result of the expression

Author(s)

Frank Harrell

See Also

hooktime()

Examples

## Not run: 
g <- function(...){}  # define a function to run slowly
result <- timeMar(g())

## End(Not run)

Description

Determine Types of Variables

Usage

varType(data, include = NULL, exclude = NULL, ndistinct = 10, nnonnum = 20)

Arguments

Details

For all the variables in a data frame/table, analyzes them to determine types: continuous, nonnumeric, and discrete. include and exclude can be vector or right-side-only formulas.

Value

list of vectors

Author(s)

Frank Harrell

Examples

set.seed(1)
d <- data.frame(i=1:100, x=runif(100), y=sample(1:3, 100, TRUE),
                w=sample(c('cat','dog','giraffe'), 100, TRUE),
                v=sample(letters, 100, TRUE))
varType(d)

Description

Make Variable Clustering Quarto Report Section

Usage

vClus(
  d,
  exclude = NULL,
  corrmatrix = FALSE,
  redundancy = FALSE,
  spc = FALSE,
  trans = FALSE,
  rexclude = NULL,
  fracmiss = 0.2,
  maxlevels = 10,
  minprev = 0.05,
  imputed = NULL,
  horiz = FALSE,
  label = "fig-varclus",
  print = TRUE,
  redunargs = NULL,
  spcargs = NULL,
  transaceargs = NULL,
  transacefile = NULL,
  spcfile = NULL
)

Arguments

Details

Draws a variable clustering dendrogram and optionally graphically depicts a correlation matrix. See this for an example. Uses Hmisc::varclus().

Value

makes Quarto tabs and prints output, returning nothing unless spc=TRUE or trans=TRUE are used, in which case a list with components princmp and/or transace is returned and these components can be passed to special print and plot methods for spc or to ggplot_transace. The user can put scree plots and PC loading plots in separate code chunks that use different figure sizes that way.

Author(s)

Frank Harrell

See Also

Hmisc::varclus(), Hmisc::plotCorrM(), Hmisc::dataframeReduce(), Hmisc::redun(), Hmisc::princmp(), Hmisc::transace()

Examples

## Not run: 
vClus(mydata, exclude=.q(country, city))

## End(Not run)