ICSsmoothing

Library for data smoothing using interpolating splines

Basic usage examples

Load the library if installed.

library("ICSsmoothing")

The library consists one testing dataframe with two numeric columns x and y.

• CERN, where CERN$x = [1, 2, ..., 277],

and five public functions

• cics_unif_explicit(...) - create and plot the uniform explicit spline,

  cics_unif_explicit(
    uumin = CERN$x[1], # start spline at this x-coordinate
    uumax = CERN$x[10], # finish spline at this x-coordinate
    yy = CERN$y[1:10], # y-coordinates for spline control points
    d = c(0,0), # derivateves at points (uumin, yy[1]) and (uumax, yy[length(yy)])
    xlab="X axis", # x-axis label
    ylab="Y axis" # y-axis label
  )

• cics_unif_explicit_smooth(...) - create and plot the uniform explicit spline as smoothing curve,

  cics_unif_explicit_smooth(
    xx = CERN$x, # x-coordinates to smooth
    yy = CERN$y, # y-coordinates to smooth
    k = 21, # number of components of a smoothing spline
    d = c(0, 1), # derivateves at points (uumin, yy[1]) and (uumax, yy[length(yy)])
    xlab = "X axis", # x-axis label
    ylab = "Y axis"
  )

• cics_explicit(...) - create and plot the explicit spline,

  cics_explicit(
    uu = c(1, 2.2, 3, 3.8, 7), # x-coordinates for spline control points
    yy = CERN$y[1:5], # y-coordinates for spline control points
    d = c(0,0), # derivateves at points (uu[1], yy[1]) and (uu[length(uu)], yy[length(yy)])
    xlab="X axis", # x-axis label
    ylab="Y axis" # y-axis label
  )

• cics_explicit_smooth(...) - create and plot the explicit spline as smoothing curve,

  cics_explicit_smooth(
    xx = CERN$x, # x-coordinates to smooth
    yy = CERN$y, # y-coordinates to smooth
    uu = c(1, 4, 7, 20, 41, 57, 86, 92, 101, 121, 220, 245, 261, 277), # # x-coordinates for spline control points. uu[1] == xx[1] and uu[length(uu)] == xx[length(xx)]
    d = c(0, 1), # derivateves at points (uumin, yy[1]) and (uumax, yy[length(yy)])
    xlab = "X axis", # x-axis label
    ylab = "Y axis"
  )

• forecast_demo() - demo showing a usage of an explicit spline to forecast some data. See the commented source code of the function for more details about the functionality.

Building from source

Prerequisites

• [Rtools]
• LaTeX

Depends on R packages

• devtools
• roxygen2
• ggplot2

Installation

On Windows Windows run in R console (or RStudio)

install.packages("Rtools", force = TRUE)
library("Rtools")

On Linux (Ubuntu) install first these packages

sudo apt install libxml2-dev libssl-dev libcurl4-openssl-dev libopenblas-dev r-base r-base-dev

In both cases then run in R console

devtools::install_github("klutometis/roxygen", force = TRUE)
library(roxygen2)
install.packages("digest")
library(digest)
install.packages("polynom")
library(polynom)
install.packages("ggplot2")
library(ggplot2)

Open system terminal in the parent directory of the package and type

R CMD build ICSsmoothing
R CMD install ICSsmoothing_1.2.8.tar.gz

OR Open RStudio and install this library using top menu button Build->Install and Restart.