checkPackages

Description

Checks if a package is installed without loading it. Returns a logical vector with TRUE or FALSE for each package checked.

Usage

checkPackages(
  ...,
  add = c("highlight", "formatR", "shiny", "shinydashboard", "shinydashboardPlus", "DT")
)

Arguments

Value

TRUE if successful otherweise an error will be thrown

Examples

checkPackages("graphics", add=NULL)          # checks if 'graphics' is installed
if (interactive()) checkPackages("graphics") # checks if 'graphics', 'shiny', ... are installed

distributionParams

Description

Computes approximate distribution parameters for the binomial, hypergeometric, Poisson, Exponential and normal distribution for a given mean (and standard deviation). With the sample and the population size the computation can be influenced.

Usage

distributionParams(mean, sd, n = 30, N = 60)

Arguments

Value

a list of parameters for each distribution

Examples

# Compute approx. paramaters for a binomial distribution
distributionParams(mean=30*0.5, sd=sqrt(30*0.5*0.5))

gettext

Description

Returns a translation from loaded PO-file. If the message is not found in the PO-file then original text will be returned.

Usage

gettext(msg, utype = "vector")

Arguments

Value

translated messages

Examples

msgs <- c("two.sided", "less", "greater")
gettext(msgs)
# for use in Shiny "choices"
gettext(msgs, "name")
gettext(msgs, "numeric")

hm_cell

Description

• hm_cell or hm_index modify a data cell format (fmt="%s"), value (unnamed parameter) or style (text_align="left")

• hm_col or hm_row modify a row or column format (fmt="%s"), value (unnamed parameter) or style (text_align="left")

Usage

hm_cell(x, row = NULL, col = NULL, ..., byrow = FALSE)

hm_index(x, ind, ...)

hm_title(x, ...)

hm_colmargintitle(x, ...)

hm_rowmargintitle(x, ...)

hm_total(x, ...)

hm_table(x, ...)

hm_row(x, ind, ...)

hm_col(x, ind, ...)

hm_colmargin(x, ind, ...)

hm_rowmargin(x, ind, ...)

hm_tr(x, ind, ...)

Arguments

Value

modified html_matrix object

Examples

l <- html_matrix(matrix(1:6, ncol=2))
# replace l[1,1] by NA
hm_cell(l, 1, 1, NA)
# replace l[1,1] by NA and set the text_align to center
hm_cell(l, 1, 1, NA, text_align="center")
# replace l[1,3] and l[2,1] by NA
rcind <- cbind(c(1,3), c(2, 1))
hm_index(l, rcind, NA)
# set a new title
hm_title(l, "new title")
# set a new row or column title
hm_row(l, 2, "row 2")
hm_col(l, 1, "col 1")
# set fmt by column or row
print(hm_cell(l, fmt=c("%.0f", "%.1f", "%.2f"), byrow=FALSE), which="fmt")
print(hm_cell(l, fmt=c("%.0f", "%.1f"), byrow=TRUE), which="fmt")

htmlTable

Description

Creates a HTML table from a two dimensional table object.

Usage

htmlTable(
  tab,
  vars = NULL,
  lines = NULL,
  cex = 1,
  title = "",
  rowsum = NULL,
  colsum = NULL,
  fmt = "%.0f",
  total = NULL,
  ...
)

Arguments

Value

html_matrix object

Examples

htab <- htmlTable(apply(Titanic,1:2,sum), c("Sex", "Class"), title="Titanic")
toHTML(htab, browser=interactive())

html_matrix

Description

Creates from a vector, matrix, array, or table a HTML representation of it. The HTML representation has one column and row more than the data. The additional row and column are used to have a title (top left), the column names (top), and the row names (left).

You can set the style attributes (⁠<td style="...">⁠) via hm_cell, hm_title, hm_col, and hm_row. For example: hm_cell(hm, 1, 1, text_align="right") will lead to (⁠<td style="text-align:right;">⁠) for the cell (1,1) and any unnamed element will change the cell value. Note: since - is an operator in R, we use ⁠_⁠ instead. Of course, you could use "text-align"="right", but I'am lazy.

Usage

html_matrix(x, ...)

## Default S3 method:
html_matrix(
  x,
  ...,
  byrow = FALSE,
  numeric = list(text_align = "right"),
  integer = list(text_align = "right"),
  char = list(text_align = "left"),
  logical = list(text_align = "right"),
  border = "#999999"
)

Arguments

Value

html_matrix returns a html_matrix, print returns invisible a character matrix

Examples

m <- matrix(1:6, ncol=2)
m
l <- html_matrix(m)
l

in_range

Description

Checks if x is between lower and upper,

Usage

in_range(x, lower, upper, rightmost.closed = TRUE, left.open = FALSE)

Arguments

Value

a logical vector whether x is in range or not

Examples

in_range(-1:2, 0, 1)

is.ASCII

Description

Checks if txt contains only ASCII characters.

Usage

is.ASCII(txt)

Arguments

Value

logical

Examples

is.ASCII("Congratulations")
is.ASCII("Herzlichen Glückwunsch")

Association

Description

Shiny app for the association coefficients between two categorical variables. If no data are given then the default data from the book will be used. Otherwise the data will be stored as RDS file in a temporary directory.

Usage

men_asso(...)

Arguments

Value

nothing

Examples

if (interactive()) men_asso()
if (interactive()) men_asso(HairEyeColor, Titanic)

men_bin

Description

Visualization of the probability mass and the cumulative distribution function of a binomial distribution.

Usage

men_bin(size = 10, prob = 0.5)

Arguments

Value

nothing

Examples

if (interactive()) men_bin()
if (interactive()) men_bin(20, 0.25)

men_ci1

Description

Shiny app for a confidence interval for the mean. The data used is considered as a population from which random samples can be drawn. If no data are given then the default data from the book will be used. Otherwise the data will be stored as RDS file in a temporary directory.

Usage

men_ci1(...)

Arguments

Value

nothing

Examples

if (interactive()) men_ci1()
if (interactive()) men_ci1(stackloss)

men_ci2

Description

Shiny app for a confidence interval for the difference of two means. The data used is considered as a population from which random samples can be drawn. If no data are given then the default data from the book will be used. Otherwise the data will be stored as RDS file in a temporary directory.

Usage

men_ci2(...)

Arguments

Value

nothing

Examples

if (interactive()) men_ci2()
if (interactive()) men_ci2(CO2)

men_cilen

Description

Shiny app for a length of a confidence interval for the mean.

Usage

men_cilen()

Value

nothing

Examples

if (interactive()) men_cilen()

men_cipi

Description

Shiny app for a confidence interval for the proportion. The data used is considered as a population from which random samples can be drawn. If no data are given then the default data from the book will be used. Otherwise the data will be stored as RDS file in a temporary directory.

Usage

men_cipi(...)

Arguments

Value

nothing

Examples

if (interactive()) men_cipi()
if (interactive()) men_cipi(Titanic)

men_cisig

Description

Shiny app for a confidence interval for the variance. The data used is considered as a population from which random samples can be drawn. If no data are given then the default data from the book will be used. Otherwise the data will be stored as RDS file in a temporary directory.

Usage

men_cisig(...)

Arguments

Value

nothing

Examples

if (interactive()) men_cisig()
if (interactive()) men_cisig(stackloss)

Correlation

Description

Shiny app for the correlation coefficients between two numeric variables. If no data are given then the default data from the book will be used. Otherwise the data will be stored as RDS file in a temporary directory.

Usage

men_corr(...)

Arguments

Value

nothing

Examples

if (interactive()) men_corr()
if (interactive()) men_corr(iris)

men_die

Description

Shiny app for detecting if a die is fair or unfair.

Usage

men_die()

Value

nothing

Examples

if (interactive()) men_die()

men_dot

Description

Shiny app for visualizing a univariate numeric variable as dotplot including univariate parameters. If no data are given then the default data from the book will be used. Otherwise the data will be stored as RDS file in a temporary directory.

Usage

men_dot(...)

Arguments

Value

nothing

Examples

if (interactive()) men_dot()
if (interactive()) men_dot(iris)

men_exp

Description

Visualization of the density and the cumulative distribution function of a exponential distribution.

Usage

men_exp(rate = 1)

Arguments

Value

nothing

Examples

if (interactive()) men_exp()
if (interactive()) men_exp(3)

men_hall

Description

Shiny app for the Monty Hall problem:

Usage

men_hall(pointdoor = 1, afteropen = 1)

Arguments

Details

Suppose you're on a game show, and you're given the choice of three doors: Behind one door is a car; behind the others, goats. You pick a door, say No. 1, and the host, who knows what's behind the doors, opens another door, say No. 3, which has a goat. He then says to you, "Do you want to pick door No. 2?" Is it to your advantage to switch your choice?

Value

nothing

Examples

if (interactive()) men_hall()
if (interactive()) men_hall(4, 2)

men_hist

Description

Shiny app for visualizing a univariate numeric variable as histögram. If no data are given then the default data from the book will be used. Otherwise the data will be stored as RDS file in a temporary directory. #'

Usage

men_hist(...)

Arguments

Value

nothing

Examples

if (interactive()) men_hist()
if (interactive()) men_hist(iris)

men_hyp

Description

Visualization of the probability mass and the cumulative distribution function of a hypergeometric distribution.

Usage

men_hyp(N = 60, M = 30, n = 20)

Arguments

Value

nothing

Examples

if (interactive()) men_hyp()
if (interactive()) men_hyp(50, 25, 10)

men_norm

Description

Visualization of the density and the cumulative distribution function of a normal distribution.

Usage

men_norm(mean = 0, sd2 = 1)

Arguments

Value

nothing

Examples

if (interactive()) men_norm()
if (interactive()) men_norm(1, 0.5)

men_parn

Description

Shiny app for the distribution of sample parameters. The data used is considered as a population from which random samples can be drawn. If no data are given then the default data from the book will be used. Otherwise the data will be stored as RDS file in a temporary directory.

Usage

men_parn(...)

Arguments

Value

nothing

Examples

if (interactive()) men_parn()
if (interactive()) men_parn(iris)

men_poi Visualization of the probability mass and the cumulative distribution function of a Poisson distribution.

Description

men_poi Visualization of the probability mass and the cumulative distribution function of a Poisson distribution.

Usage

men_poi(lambda = 5)

Arguments

Value

nothing

Examples

if (interactive()) men_poi()
if (interactive()) men_poi(3)

men_rank

Description

Shiny app for the rank correlation coefficients between two ordered variables. If no data are given then the default data from the book will be used. Otherwise the data will be stored as RDS file in a temporary directory.

Usage

men_rank(...)

Arguments

Value

nothing

Examples

if (interactive()) men_rank()
if (interactive()) {
  data("plantTraits", package="cluster")
  men_rank(plantTraits)
}

men_regr

Description

Shiny app for a simple linear regression. If no data are given then the default data from the book will be used. Otherwise the data will be stored as RDS file in a temporary directory.

Usage

men_regr(...)

Arguments

Value

nothing

Examples

if (interactive()) men_regr()
if (interactive()) men_regr(stackloss)

Frequency tables

Description

Shiny app for frequency tables for two categorical variables. If no data are given then the default data from the book will be used. Otherwise the data will be stored as RDS file in a temporary directory.

Usage

men_tab(...)

Arguments

Value

nothing

Examples

if (interactive()) men_tab()
if (interactive()) men_tab(HairEyeColor, Titanic)

men_terr

Description

Shiny app for a test for the true mean. The data used is considered as a population from which random samples can be drawn. If no data are given then the default data from the book will be used. Otherwise the data will be stored as RDS file in a temporary directory.

Usage

men_terr(...)

Arguments

Value

nothing

Examples

if (interactive()) men_terr()
if (interactive()) men_terr(iris)

men_time

Description

Shiny app for classical time series analysis If no data are given then the default data from the book will be used. Otherwise the data will be stored as RDS file in a temporary directory.

Usage

men_time(...)

Arguments

Value

nothing

Examples

if (interactive()) men_time()
if (interactive()) men_time(co2)

men_tmu1

Description

Shiny app for a test for the true mean. The data used is considered as a population from which random samples can be drawn. If no data are given then the default data from the book will be used. Otherwise the data will be stored as RDS file in a temporary directory.

Usage

men_tmu1(...)

Arguments

Value

nothing

Examples

if (interactive()) men_tmu1()
if (interactive()) men_tmu1(iris)

men_tmu2

Description

Shiny app for a test on difference of two true means. The data used is considered as a population from which random samples can be drawn. If no data are given then the default data from the book will be used. Otherwise the data will be stored as RDS file in a temporary directory.

Usage

men_tmu2(...)

Arguments

Value

nothing

Examples

if (interactive()) men_tmu2()
if (interactive()) men_tmu2(CO2)

men_tprop

Description

Shiny app for test on the proportion. The data used is considered as a population from which random samples can be drawn. If no data are given then the default data from the book will be used. Otherwise the data will be stored as RDS file in a temporary directory.

Usage

men_tprop(...)

Arguments

Value

nothing

Examples

if (interactive()) men_tprop()
if (interactive()) men_tprop(Titanic)

men_vis

Description

Shiny app for visualizing the univariate numeric variable, e.g. boxplot, stripchart, histogram, and cumulative distribution function. If no data are given then the default data from the book will be used. Otherwise the data will be stored as RDS file in a temporary directory.

Usage

men_vis(...)

Arguments

Value

nothing

Examples

if (interactive()) men_vis()
if (interactive()) men_vis(iris)

mmstat.attrVar

Description

Returns the parameters for a variable. If type="numeric" then descriptive measures will be returned. Otherwise absolute and relative frequencies will be returned. For using a subset of observation set index.

Usage

mmstat.attrVar(var, type, index = NULL)

Arguments

Value

descriptive measures

Examples

# make sure that no other data sets are loaded
mmstat.set(datasets=NULL)
mmstat.getDataNames(mmstat.rds("CARS"))
# summary of first numeric variable in first data set in mmstat
var <- mmstat.getVar(1, 1, 'numeric')
mmstat.attrVar(var, "numeric")
# summary of first factor variable in first data set in mmstat
var <- mmstat.getVar(1, 1, 'factor')
mmstat.attrVar(var, 'factor')

mmstat.axis

Description

Based on range the position of the labels are determined and the axis is plotted.

Usage

mmstat.axis(side, range, at, labels, ...)

Arguments

Value

adds a axis to a plot

Examples

oldpar <- par(mfrow=c(1,2))
plot(iris[,1])
plot(iris[,1], axes=FALSE)
mmstat.axis(2, iris[,1])
par(oldpar)

mmstat.baraxis

Description

Based on range the position of the labels are determined and the axis is plotted.

Usage

mmstat.baraxis(side, range, at, labels, ...)

Arguments

Value

adds a axis to a plot

Examples

oldpar <- par(mfrow=c(1,2))
x <- 0:15
px <- dbinom(x, 10, 0.5)
plot(x, px, type="h")
plot(x, px, type="h", axes=FALSE)
mmstat.baraxis(1, range(x), at=x, labels=as.character(x))
par(oldpar)

mmstat.dec

Description

Computes the number of the significant digits based on the smallest non-zero difference of the sorted data.

Usage

mmstat.dec(x, ord = NULL)

Arguments

Value

The number of significant digits and (the subset of) the order of the data.

Examples

x <- rnorm(20)
d <- mmstat.dec(x)
# create strings so that they are unique (if they were)
sprintf("%.*f", d$dec, x)

mmstat.getDataNames

Description

Returns the names of data sets and stores them in the internal environment. The name of the data set is base name without extension.

Usage

mmstat.getDataNames(...)

Arguments

Value

the names of the data sets

Examples

files <- mmstat.rds("HAIR.EYE.COLOR", "TITANIC")
mmstat.getDataNames(files)

mmstat.getDatasets

Description

Reads data set(s) into the mmstat object.

Usage

mmstat.getDatasets(...)

Arguments

Value

the names of the data set(s)

Examples

# not used, deprecated??

mmstat.getLog

Description

Returns the internal log message as HTML. In a Shiny app the log message are updated every 100 milliseconds

Usage

mmstat.getLog(session)

Arguments

Value

HTML code

Examples

# will work only in A Shiny app
if (interactive()) {
  require("shiny")
  ui <- fluidPage(
    titlePanel("getLog example"),
       sidebarLayout(sidebarPanel(
         actionButton("quit", "Quit")),
         mainPanel(textOutput("log"))
   )
 )
#
  server <- function(input, output, session) {
    observeEvent(input$quit, { stopApp() })
    output$log <- renderText({ mmstat.getLog(session) })
  }
#
  shinyApp(ui, server)
}

mmstat.getValues

Description

mmstat.getValues returns a list with named elements. If the parameter is NULL then a default value stored local will be used. mmstat.getValue returns a value. If the parameter is NULL or NA then def will be returned

Usage

mmstat.getValues(local, ...)

mmstat.getValue(val, def)

Arguments

Value

a list of requested parameters

Examples

def <- list(a=3)
mmstat.getValues(def, b=3, a=NULL)
mmstat.getValue(NA, 5)
mmstat.getValue(NULL, 5)
mmstat.getValue(3, 5)

mmstat.getVar

Description

Returns the from a data set a variable from the given type.

Usage

mmstat.getVar(
  dataname = NULL,
  varname = NULL,
  vartype = NULL,
  na.action = stats::na.omit
)

Arguments

Value

a variable of the given type

Examples

# make sure that no other data sets are loaded
mmstat.set(datasets=NULL)
mmstat.getDataNames(mmstat.rds("CARS"))
# summary of first numeric variable in first data set in mmstat
str(mmstat.getVar(1, 1, 'numeric'))
# summary of first factor variable in first data set in mmstat
str(mmstat.getVar(1, 1, 'factor'))

mmstat.getVarNames

Description

Returns the variable names of a specific type from a mmstat data set.

Usage

mmstat.getVarNames(dataname, vartype, which = NULL)

Arguments

Value

a vector or element of variable names which have the type vartype

Examples

# Load CAR data set into mmstat
mmstat.getDataNames(mmstat.rds("CARS"))
# Extract names of numeric variables
mmstat.getVarNames(1, "numeric")

mmstat.getVariableNames

Description

Returns all variable names of data set stored in the internal environment.

Usage

mmstat.getVariableNames(name)

Arguments

Value

vector of names

Examples

# Delete all stored data sets
mmstat.set(datasets=NULL)
# Load CAR data set into mmstat
mmstat.getDataNames(mmstat.rds("CARS"))
# Extract names of all variables
mmstat.getVariableNames(1)

mmstat.lang

Description

Loads a PO file for a translation into the internal environment.

Usage

mmstat.lang(pof = NULL)

Arguments

Value

nothing

Examples

mmstat.lang()

mmstat.log

Description

Writes a message into the internal log.

Usage

mmstat.log(txt)

Arguments

Value

nothing

Examples

mmstat.log("Test")

mmstat.math

Description

Returns a math expression based on HTML special characters notation.

Usage

mmstat.math(txt)

Arguments

Value

expression

Examples

mmstat.math(" &bar(X);~&N(mu[0], sigma^2/n); ")
mmstat.math("&H[0];: &mu==mu[0]; vs. &H[1];: &mu!=mu[0]; ")

mmstat.merge

Description

Computes a new range from by a union of the two ranges.

Usage

mmstat.merge(range1, range2)

Arguments

Value

new range

Examples

mmstat.merge(c(0,1), c(0.5, 2)) # returns c(0, 2)

mmstat.plotTestRegions

Description

Plots the test regions in a plot

Usage

mmstat.plotTestRegions(
  crit,
  xlim,
  ylim,
  cex,
  close = FALSE,
  col = "black",
  label = NULL,
  pos = 1
)

Arguments

Value

adds test regions to a plot

Examples

x  <- (-30:30)/10
px <- dnorm(x)
plot(x, px, type="l", ylim=c(-0.25, max(px)), xlim=range(x))
mmstat.plotTestRegions(crit=c(-1.96, +1.96), xlim=range(x), ylim=c(-0.2, -0.1), cex=1)

mmstat.pos

Description

Returns a linear interpolation based on minmax.

Usage

mmstat.pos(minmax, pos)

Arguments

Value

interpolated values

Examples

mmstat.pos(c(0,360), 0.5)

mmstat.range

Description

Computes a range from several R objects by union.

Usage

mmstat.range(...)

Arguments

Value

range

Examples

mmstat.range(-5:5, 0:10) # returns c(-5, 10)

mmstat.rds

Description

Returns the full file names of all or specific data set that come with the package.

Usage

mmstat.rds(...)

Arguments

Value

full file names

Examples

mmstat.rds()                            # return all RDS file that come with the package
mmstat.rds("HAIR.EYE.COLOR", "TITANIC") # location of specific data sets

mmstat.round.down

Description

Rounds down.

Usage

mmstat.round.down(x, digits = 0)

Arguments

Value

down rounded values

Examples

x <- runif(5)
cbind(x, mmstat.round.down(x, 1))

mmstat.round.up

Description

Rounds up.

Usage

mmstat.round.up(x, digits = 0)

Arguments

Value

uprounded values

Examples

x <- runif(5)
cbind(x, mmstat.round.up(x, 1))

mmstat.set

Description

mmstat.set sets one (or more) parameter to the internal environment. mmstat.get return one or more parameters from the internal environment.

Usage

mmstat.set(...)

mmstat.get(...)

Arguments

Value

nothing

Examples

mmstat.set(debug=0)
mmstat.get("debug")
mmstat.get("debug", "shiny") # returns a list

mmstat.sliderInput

Description

A modified sliderInput for mmstat which supports user defined tick marks.

Usage

mmstat.sliderInput(...)

Arguments

Value

the HTML output

Examples

ticks <- c(80, 85, 90, 95, 98, 99, 99.5, 99.9)
mmstat.sliderInput("id", "label", min=1, max=length(ticks), value=3, step=1, ticks=ticks)

mmstat.ticks

Description

Returns tick marks for a log based scale between nmin and nin.

Usage

mmstat.ticks(nin, nmin = 3, tin = 11)

Arguments

Value

vector of tick marks

Examples

mmstat.ticks(506)

mmstat.ui.call

Description

Calls the underlying Shiny UI element (selectInput, ...).

Usage

mmstat.ui.call(inputId, ...)

Arguments

Value

whatever the call to the underlying Shiny UI element returns

Examples

mmstat.ui.elem(inputId="alpha", type="significance")
mmstat.ui.call("alpha")

mmstat.ui.elem

Description

Adds a new UI element to the app interface. The following types from Shiny are allowed:

• actionButton,

• checkboxInput,

• checkboxGroupInput,

• dateInput,

• dateRangeInput,

• fileInput,

• helpText,

• numericInput,

• radioButtons,

• selectInput,

• sliderInput,

• submitButton, and

• textInput.

Additionally some standard statistical UI elements are supported (links go to the Shiny element used):

• sampleSize,

• drawSample,

• speedSlider,

• confidenceLevel,

• significance,

• testHypotheses,

• dataSet,

• variable1,

• variableN, and

• fontSize.

Partially these elements have default settings which can be overwritten.

Usage

mmstat.ui.elem(inputId, type, ...)

Arguments

Value

nothing

Examples

mmstat.ui.elem(inputId="alpha", type="significance")

mmstat.ui.update

Description

Call for a update of an underlying Shiny UI element (selectInput, ...).

Usage

mmstat.ui.update(inputId, ...)

Arguments

Value

whatever the update to the underlying Shiny UI element returns

Examples

mmstat.ui.elem(inputId="alpha", type="significance")
mmstat.ui.call("alpha")

mmstat.warn

Description

Writes a warning text into the log object in the internal mmstat object.

Usage

mmstat.warn(cond, txt)

Arguments

Value

nothing

Examples

mmstat.warn(TRUE, "just a true seen")

resetpar

Description

Resets the par if necessary.

Usage

resetpar(oldpar)

Arguments

Value

nothing

Examples

par("mar")
oldpar <- par(no.readonly = TRUE)
par(mar = c(0,0,0,0))
par("mar")
resetpar(oldpar)
par("mar")

stopif

Description

A equivalent to stopifnot: if cond is TRUE then a error is thrown.

Usage

stopif(cond, txt)

Arguments

Value

nothing

Examples

if (interactive()) stopif(1+1==2, "1+1 can not be 2, this is fake science!")

table2dataframe

Description

Converts a table to a full data frame.

Usage

table2dataframe(tab, ...)

Arguments

Value

a data frame with sum(tab) rows and length(dim(tab)) cols

Examples

table2dataframe(Titanic)

toHTML

Description

Returns a HTMl representation of a matrix and optionally shows the result in the browser. If you decide to view the result in a browser then the HTML will be written to a temporary file and utils::browseURL() called

Usage

## S3 method for class 'html_matrix'
toHTML(x, browser = FALSE, ...)

## S3 method for class 'table'
toHTML(x, browser = FALSE, ...)

## S3 method for class 'matrix'
toHTML(x, browser = FALSE, ...)

Arguments

Value

html_matrix object

Examples

library("tools")
m    <- matrix(1:12, ncol=4)
hm   <- html_matrix(m)
html <- toHTML(hm, browser=interactive())

toRDS

Description

Saves one or more data sets in RDS format to a temporary directory (tmpdir()). Data sets must have the class ts or something that can be converted to a data frame, e.g. matrix, table, etc.

Usage

toRDS(...)

Arguments

Value

returns the name of the created files

Examples

toRDS(Titanic) # saves to tempdir/Titanic.rds

ucfirst

Description

Uppercases the first character in txt.

Usage

ucfirst(txt)

Arguments

Value

character

Examples

ucfirst("hello world")

zebra

Description

zebra

Usage

zebra(x, col = c("#FFFFFF", "#CCCCCC"), byrow = TRUE)

Arguments

Value

html_matrix object

Examples

library("magrittr")
library("tools")
m    <- matrix(1:12, ncol=4)
hm   <- html_matrix(m) %>% zebra()
html <- toHTML(hm, browser=interactive())

zzz

Description

Checks if all necessary packages are installed.

Usage

zzz()

Value

a logical vector which of the required packages are available

Examples

zzz()