R/data.R

In DCSmooth: Nonparametric Regression and Bandwidth Selection for Spatial Models

#' Single Gaussian Peak
#' 
#' Example data for using the DCSmooth functions. Data resembles a single
#'   gaussian peak on the interval \eqn{[0,1] \times [0,1]}{[0,1] x [0,1]}
#'   with maximum at \eqn{(0.5, 0.5)} and variance matrix \eqn{0.1 \cdot
#'  {\bf I}}{0.05 I}, where 
#'   \eqn{{\bf I}}{I} represents the \eqn{2 \times 2}{2 x 2} identity matrix.
#'   
#' @format A numeric matrix with 101 rows and 101 columns.
"y.norm1"

#' Double Gaussian Peak
#' 
#' Example data for using the DCSmooth functions. Data resembles two gaussian
#'   peaks on the interval \eqn{[0,1] \times [0,1]}{[0,1] x [0,1]} with maxima
#'   at \eqn{(0.5, 0.3)} with variance matrix \eqn{0.1 \cdot {\bf I}}{0.1 I}
#'   and at \eqn{(0.2, 0.8)} with variance matrix \eqn{0.05 \cdot {\bf I}}{
#'   0.05 I}, where \eqn{{\bf I}}{I} represents the \eqn{2 \times 2}{2 x 2}
#'   identity matrix.
#'   
#' @format A numeric matrix with 101 rows and 101 columns.
"y.norm2"

#' Double Gaussian Ridges
#' 
#' Example data for using the DCSmooth functions. Data resembles two gaussian
#'   ridges on the interval \eqn{[0,1] \times [0,1]}{[0,1] x [0,1]} with maxima
#'   at \eqn{(0.25, 0.75)} with variance matrix
#'   \eqn{(0.01, -0.1) \cdot {\bf I}}{(0.01, -0.1) I} and at
#'   \eqn{(0.75, 0.5)} with variance matrix
#'   \eqn{(0.01, -0.1) \cdot {\bf I}}{(0.01, -0.1) I}, where 
#'   \eqn{{\bf I}}{I} represents the \eqn{2 \times 2}{2 x 2} identity matrix.
#'   
#' @format A numeric matrix with 101 rows and 101 columns.
"y.norm3"

#' Temperatures from Yuma, AZ
#' 
#' This dataset contains the 5-minute observations of the 2020 temperature in
#' Yuma, AZ. The data is from the U.S. Climate Reference Network database at 
#' \href{https://www.ncdc.noaa.gov/crn/qcdatasets.html}{www.ncdc.noaa.gov}. 
#' (see Diamond et al., 2013). The observations were adjusted matrix form for 
#' direct use with the \code{DCSmooth}-functions.
#' 
#' @format A numeric matrix with 366 rows and 288 columns containing the
#' temperatures in Celsius.
"temp.yuma"

#' Temperatures from Nunn, CO
#' 
#' This dataset contains the 5-minute observations of the 2020 temperature in
#' Nunn, CO. The data is from the U.S. Climate Reference Network database at 
#' \href{https://www.ncdc.noaa.gov/crn/qcdatasets.html}{www.ncdc.noaa.gov}. 
#' (see Diamond et al., 2013). The observations were adjusted matrix form for 
#' direct use with the \code{DCSmooth}-functions.
#' 
#' @format A numeric matrix with 366 rows and 288 columns containing the
#' temperatures in Celsius.
"temp.nunn"

#' Wind Speed from Yuma, AZ
#' 
#' This dataset contains the 5-minute observations of the 2020 wind speed in
#' Yuma, AZ. The data is from the U.S. Climate Reference Network database at 
#' \href{https://www.ncdc.noaa.gov/crn/qcdatasets.html}{www.ncdc.noaa.gov}. 
#' (see Diamond et al., 2013). The observations were adjusted matrix form for 
#' direct use with the \code{DCSmooth}-functions.
#' 
#' @format A numeric matrix with 366 rows and 288 columns containing the
#' wind speeds in \eqn{m/s}.
"wind.yuma"

#' Wind Speed from Nunn, CO
#' 
#' This dataset contains the 5-minute observations of the 2020 wind speed in
#' Nunn, CO. The data is from the U.S. Climate Reference Network database at 
#' \href{https://www.ncdc.noaa.gov/crn/qcdatasets.html}{www.ncdc.noaa.gov}. 
#' (see Diamond et al., 2013). The observations were adjusted matrix form for 
#' direct use with the \code{DCSmooth}-functions.
#' 
#' @format A numeric matrix with 366 rows and 288 columns containing the
#' wind speed in \eqn{m/s}.
"wind.nunn"

#' Returns of Allianz SE
#'
#' The (log-) returns of the shares of the German insurance company Allianz SE
#' from 2007-01-02 to 2010-12-30 aggregated to 5-minute observations. The data
#' is adjusted to matrix form for direct use with the \code{DCSmooth}-functions.
#'
#' @format A numeric matrix with 1016 rows representing the days and 101 columns
#' representing the intraday time points.
"returns.alv"

#' Volumes of Allianz SE
#'
#' The trading volumes of the shares of the German insurance company Allianz SE
#' from 2007-01-02 to 2010-09-30 aggregated to 5-minute observations. The data
#' is adjusted to matrix form for direct use with the \code{DCSmooth}-functions.
#'
#' @format A numeric matrix with 1016 rows representing the days and 102 columns
#' representing the intraday time points.
"volumes.alv"