Package 'FreqProf'

Interpolate multiple columns of a data.frame

Description

Interpolate multiple columns of a data.frame

Usage

approxm(data1, n, method = "linear")

Arguments

data1	a data.frame with columns for interpolation
n	the number of points to interpolate
method	the method to interpolate by, "linear" or "spline"

Value

Returns a data.frame of all data1 variables interpolated to n rows.

See Also

approx is the underlying function and has more options

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Correlation test for multiple variables - of the same name - in separate data.frames

Description

Correlation test for multiple variables - of the same name - in separate data.frames

Usage

cor.testm(data1, data2, method)

Arguments

data1	a data.frame with N variables
data2	a data.frame with the same N variables as data1
method	a correlation method, either method = "pearson" or "spearman"

Value

Returns a data.frame of correlation test data for N variables

See Also

cor.test is the underlying function and has more options

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Convert data to moving sum/prop.

Description

Convert data to moving sum/prop.

Usage

freqprof(data.behavior, window = round(0.25 * nrow(data.behavior)),
  step = 1, resolution = 1, which = c("sum", "proportion"))

Arguments

data.behavior	a data.frame containing occurrence/nonoccurrence data in binary (0/1) format
window	the window length to use in computing a moving sum or proportion
step	the number of bins of which the data will be translated.
resolution	the number of points contained in a bin
which	giving the moving function to apply: sum or proportion

Value

The data in a freqprof object.

Examples

data(s58)
freqprof(s58)

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Generate a sequence of dates

Description

Generate a sequence of dates

Usage

generate_dates(startDate, nDays, by = "day")

Arguments

startDate	a character string in the format "YYYY-MM-DD"
nDays	length of output vector
by	days or weeks

Value

Sequence of dates starting at startDate with length nDays by daily or weekly increments

Examples

generate_dates("2016-06-05", 31, by = "day")

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Internal ggplot Wrapper to Graph Frequency Profiles

Description

Internal ggplot Wrapper to Graph Frequency Profiles

Usage

ggplot_fp(data1, resolution = resolution, step = step, yAxis = yAxis,
  xAxisUnits = xAxisUnits, xmin = xmin, xmax = xmax,
  tick.every = tick.every, label.every = label.every)

Arguments

data1	data formated into freqprof class.
resolution	resolution of freqprof data
step	step size of freqprof data
yAxis	a string providing a label for the y-axis.
xAxisUnits	a string indicating which unit has been used. By default, "sec".
xmin	x-axis minimum value
xmax	x-axis maximum value
tick.every	the spacing between each tick. By default, N/30 where N is the number of time units.
label.every	label every X ticks, where X = label.every. By default, label.every = 3.

Value

A ggplot of the frequency profile data in data1

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Import Data Pop Up

Description

This function reads a file, whose extension is either csv, bin or fpw, and imports it as a data.frame.

Usage

import_data(filename = file.choose())

Arguments

filename

a string indicating the path of the file containing the data. By default, will open a pop-up so that the user can choose a file with the GUI.

Value

A data.frame ready to be converted into freqprof class (see function freqprof).

Examples

# Only run this example in interactive R sessions
if(interactive()) {
  # Select a file
  import_data()
 }

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Kolmogorov-Smirnov test for multiple variables - of the same name - in separate data.frames

Description

Kolmogorov-Smirnov test for multiple variables - of the same name - in separate data.frames

Usage

ks.testm(data1, data2, vars)

Arguments

data1	a data.frame with N variables
data2	a data.frame with the same N variables as data1
vars	a vector of the N variable names

Value

Returns a data.frame with Kolmogorov-Smivnov test data for N variables

See Also

ks.test is the underlying function and has more options.

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Internal function for Generating Moving Sum or Proportion

Description

Internal function in freqprof that is used to generate moving sum or proportion data.

Usage

movfun(x, n, s, r, fun)

Arguments

x	data passed from freqprof
n	window length passed from freqprof
s	step size passed from freqprof
r	resolution passed from freqprof
fun	"sum" or "proportion" passed from freqprof

Value

Returns a list containing the processed data into $movfun, and the associated panels into $panels. Passes list to freqprof.

---

Plot Frequency Profiles.

Description

Use plot_freqprof to plot frequency profile data generated from freqprof.

Usage

plot_freqprof(data.freqprof, yAxis = NULL, xAxisUnits = "sec",
  panel.in = TRUE, panel.out = TRUE, gg = FALSE, multiPlot = FALSE,
  tick.every = round(length(data.freqprof$data$time)/31), label.every = 3)

Arguments

data.freqprof	data formated into class freqprof.
yAxis	a string labelling the y-axis, defaults to data.freqprof$type.
xAxisUnits	a string indicating x-axis units, defaults to "sec".
panel.in	if FALSE the first panel of the frequency profile, the window moving in, is not plotted.
panel.out	if FALSE the third panel of the frequency profile, the window moving out, is not plotted.
gg	if TRUE, will use ggplot2 to plot frequency profiles.
multiPlot	if TRUE, will plot each behavior in its own panel.
tick.every	the spacing between each plot tick mark. By default, N/30 where N is the number of time units.
label.every	label every X ticks, where X = label.every. By default, label.every = 3.

Value

Returns a frequency profiles plot.

Examples

data(s58)
plot_freqprof(freqprof(s58))

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Internal function for Resolution Adjustment

Description

Internal function in freqprof that is used to modify data resolution.

Usage

radj(x, r)

Arguments

x	data data passed from freqprof
r	resolution passed from freqprof

Value

Resolution adjustment.

---

Reads the data in the file "filename", which is supposed to be a .bin file

Description

Reads the data in the file "filename", which is supposed to be a .bin file

Usage

read.bin(filename)

Arguments

filename

a string indicating the path of the file.

Value

A data.frame giving the raw data.

Examples

read.bin(filename = system.file("extdata", "S58-1-1.bin",
                                 package = "FreqProf"))

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Reads the data in the file "filename", which is supposed to be a .fpw file

Description

Reads the data in the file "filename", which is supposed to be a .fpw file

Usage

read.fpw(filename)

Arguments

filename

a string indicating the path of the file.

Value

A data.frame of the .fpw data.

---

Run interactive FreqProf example (Shiny App)

Description

Run interactive FreqProf example (Shiny App)

Usage

runEx()

Examples

# Only run this example in interactive R sessions
if(interactive()) {
  runEx()
}

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Occurrence/nonoccurrence data for four behaviors from a single subject

Description

A dataset containing the occurrence/nonoccurence data for four behaviors of a single subject over 3092 observations. Each behavior corresponds to touches on areas of a touchpad.

Usage

s58

Format

A data.frame with 3092 rows and 4 variables

V1

Behavior 1

V2

Behavior 2

V3

Behavior 3

V4

Behavior 4

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