1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262
|
### File R/gvisTreeMap.R
### Part of the R package googleVis
### Copyright 2010 - 2014 Markus Gesmann, Diego de Castillo
### It is made available under the terms of the GNU General Public
### License, version 2, or at your option, any later version,
### incorporated herein by reference.
###
### This program is distributed in the hope that it will be
### useful, but WITHOUT ANY WARRANTY; without even the implied
### warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
### PURPOSE. See the GNU General Public License for more
### details.
###
### You should have received a copy of the GNU General Public
### License along with this program; if not, write to the Free
### Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston,
### MA 02110-1301, USA
#' Google Tree Map with R
#' \Sexpr{googleChartName <- "treemap"}
#' \Sexpr{gvisChartName <- "gvisTreeMap"}
#'
#' The gvisTreeMap function reads a data.frame and creates text output
#' referring to the Google Visualisation API, which can be included into a web
#' page, or as a stand-alone page. The actual chart is rendered by the web
#' browser.
#'
#' A tree map is a visual representation of a data tree, where each node can
#' have zero or more children, and one parent (except for the root, which has
#' no parents). Each node is displayed as a rectangle, sized and colored
#' according to values that you assign. Sizes and colors are valued relative to
#' all other nodes in the graph. You can specify how many levels to display
#' simultaneously, and optionally to display deeper levels in a hinted fashion.
#' If a node is a leaf node, you can specify a size and color; if it is not a
#' leaf, it will be displayed as a bounding box for leaf nodes. The default
#' behavior is to move down the tree when a user left-clicks a node, and to
#' move back up the tree when a user right-clicks the graph.
#'
#' The total size of the graph is determined by the size of the containing
#' element that you insert in your page. If you have leaf nodes with names too
#' long to show, the name will be truncated with an ellipsis (...).
#'
#' @param data a \code{data.frame}. The data has to have at least four columns.
#' Each row in the data table describes one node (a rectangle in the graph).
#' Each node (except the root node) has one or more parent nodes. Each node is
#' sized and colored according to its values relative to the other nodes
#' currently shown.
#' @param idvar column name of \code{data} describing the ID for each node. It
#' can be any valid JavaScript string, including spaces, and any length that a
#' string can hold. This value is displayed as the node header.
#' @param parentvar column name of \code{data} that match to entries in
#' \code{idvar}. If this is a root node, leave this \code{NA}. Only one root is
#' allowed per treemap.
#' @param sizevar column name of \code{data} with positive values to define the
#' size of maps. Any positive value is allowed. This value determines the size
#' of the node, computed relative to all other nodes currently shown. This
#' value is ignored for non-leaf nodes (it is actually calculated from the size
#' of all its children).
#' @param colorvar column name of \code{data} with values to define range of
#' color. The value is used to calculate a color for this node. Any value,
#' positive or negative, is allowed. The color value is first recomputed on a
#' scale from \code{minColorValue} to \code{maxColorValue}, and then the node
#' is assigned a color from the gradient between \code{minColor} and
#' \code{maxColor}.
#' @param options list of configuration options, see:
#'
#' % START DYNAMIC CONTENT
#'
#' \Sexpr[results=rd]{gsub("CHARTNAME",
#' googleChartName,
#' readLines(file.path(".", "inst", "mansections",
#' "GoogleChartToolsURLConfigOptions.txt")))}
#'
#' \Sexpr[results=rd]{paste(readLines(file.path(".", "inst",
#' "mansections", "gvisOptions.txt")))}
#'
#' @param chartid character. If missing (default) a random chart id will be
#' generated based on chart type and \code{\link{tempfile}}
#'
#' @return \Sexpr[results=rd]{paste(gvisChartName)} returns list
#' of \code{\link{class}}
#' \Sexpr[results=rd]{paste(readLines(file.path(".", "inst",
#' "mansections", "gvisOutputStructure.txt")))}
#'
#' @references Google Chart Tools API:
#' \Sexpr[results=rd]{gsub("CHARTNAME",
#' googleChartName,
#' readLines(file.path(".", "inst", "mansections",
#' "GoogleChartToolsURL.txt")))}
#'
#' % END DYNAMIC CONTENT
#'
#' @section Warning :
#'
#' Tree maps display a tree like structure where every child has to have a
#' unique parent.
#'
#' Values in column \code{sizevar} should be greater than zero and finite.
#' @author Markus Gesmann \email{markus.gesmann@@gmail.com},
#'
#' Diego de Castillo \email{decastillo@@gmail.com}
#' @seealso
#'
#' See also \code{\link{print.gvis}}, \code{\link{plot.gvis}} for printing and
#' plotting methods.
#'
#' Please note that the \code{treemap} package offeres a static version of tree
#' maps via its \code{tmPlot} function.
#' @keywords iplot
#' @examples
#'
#' ## Please note that by default the googleVis plot command
#' ## will open a browser window and requires Internet
#' ## connection to display the visualisation.
#'
#' Tree <- gvisTreeMap(Regions, idvar="Region", parentvar="Parent",
#' sizevar="Val", colorvar="Fac")
#' plot(Tree)
#'
#'
#' Tree2 <- gvisTreeMap(Regions, "Region", "Parent", "Val", "Fac",
#' options=list(width=600, height=500,
#' fontSize=16,
#' minColor='#EDF8FB',
#' midColor='#66C2A4',
#' maxColor='#006D2C',
#' headerHeight=20,
#' fontColor='black',
#' showScale=TRUE))
#'
#' plot(Tree2)
#'
#' ## Simple static treemap with no drill down options based on US states
#' ## and their area. However we still have to create a parent id to use
#' ## gvisTreeMap
#'
#' require(datasets)
#' states <- data.frame(state.name, state.area)
#'
#' ## Create parent variable
#'
#' total=data.frame(state.area=sum(states$state.area), state.name="USA")
#'
#' my.states <- rbind(total, states)
#' my.states$parent="USA"
#' ## Set parent variable to NA at root level
#' my.states$parent[my.states$state.name=="USA"] <- NA
#'
#' my.states$state.area.log=log(my.states$state.area)
#' statesTree <- gvisTreeMap(my.states, "state.name", "parent",
#' "state.area", "state.area.log")
#' plot(statesTree)
#'
#'
#' ## We add US regions to the above data set to enable drill down capabilities
#'
#' states2 <- data.frame(state.region, state.name, state.area)
#'
#' regions <- aggregate(list(region.area=states2$state.area),
#' list(region=state.region), sum)
#'
#' my.states2 <- data.frame(regionid=c("USA",
#' as.character(regions$region),
#' as.character(states2$state.name)),
#' parentid=c(NA, rep("USA", 4),
#' as.character(states2$state.region)),
#' state.area=c(sum(states2$state.area),
#' regions$region.area, states2$state.area))
#'
#' my.states2$state.area.log=log(my.states2$state.area)
#'
#' statesTree2 <- gvisTreeMap(my.states2, "regionid", "parentid",
#' "state.area", "state.area.log")
#'
#' plot(statesTree2)
#'
#' ## Now we add another layer with US divisions
#'
#' states3 <- data.frame(state.region, state.division, state.name, state.area)
#'
#' regions <- aggregate(list(region.area=states3$state.area),
#' list(region=state.region), sum)
#'
#' divisions <- aggregate(list(division.area=states3$state.area),
#' list(division=state.division, region=state.region),
#' sum)
#'
#' my.states3 <- data.frame(regionid=c("USA",
#' as.character(regions$region),
#' as.character(divisions$division),
#' as.character(states3$state.name)),
#' parentid=c(NA, rep("USA", 4),
#' as.character(divisions$region),
#' as.character(states3$state.division)),
#' state.area=c(sum(states3$state.area),
#' regions$region.area,
#' divisions$division.area,
#' states3$state.area))
#'
#' my.states3$state.area.log=log(my.states3$state.area)
#'
#' statesTree3 <- gvisTreeMap(my.states3, "regionid", "parentid",
#' "state.area", "state.area.log")
#'
#' plot(statesTree3)
#'
#'
#'
gvisTreeMap <- function(data, idvar="", parentvar="", sizevar="", colorvar="",options=list(), chartid){
my.type <- "TreeMap"
dataName <- deparse(substitute(data))
my.options <- list(gvis=modifyList(list(width = 600, height=500),options),
dataName=dataName,
data=list(idvar=idvar, parentvar=parentvar, sizevar=sizevar,colorvar=colorvar,
allowed=c("number", "string"))
)
checked.data <- gvisCheckTreeMapData(data, my.options)
output <- gvisChart(type=my.type, checked.data=checked.data, options=my.options, chartid)
return(output)
}
gvisCheckTreeMapData <- function(data, options){
data.structure <- list(
idvar = list(mode="required",FUN=check.char),
parentvar = list(mode="required",FUN=check.char),
sizevar = list(mode="required",FUN=check.num.pos),
colorvar = list(mode="required",FUN=check.num))
x <- gvisCheckData(data=data,options=options,data.structure=data.structure)
# is there parent for every id?
parent.match.id <- x[[2]][!(x[[2]] %in% x[[1]])]
if (sum(is.na(parent.match.id))!=1 || length(parent.match.id)!=1){
stop("parentvar and idvar do not fit together.")
}
x <- data.frame(x)
## less.equal.zero <- sum(x[['sizevar']] <= 0)
## infinite <- sum(is.infinite(x[['sizevar']]))
## if(less.equal.zero > 0){
## warning(paste("Values in column sizevar should be greater than 0,\n",
## "however, your data has ", less.equal.zero, "values less or equal to 0.\n",
## sep=""))
## }
## if(infinite>0){
## warning(paste("Values in column sizevar have to be greater than 0 and finite,\n",
## "however, your data has", infinite, "infinite values.",
## sep=""))
## }
return(x)
}
|