imagesend(sendplot)
imagesend()所属R语言包：sendplot
INTERACTIVE IMAGE
交互式图像
译者：生物统计家园网 机器人LoveR
描述----------Description----------
This function is a wrapper to sendplot that will create a single interactive image
这个函数是一个的包装到sendplot，将创建一个交互式图像
用法----------Usage----------
imagesend(plot.call,
x.pos,
y.pos,
xy.type,
plot.extras = NA,
mai.mat=NA, mai.prc=FALSE,
xy.labels=NA,
image.size="800x1100",
spot.radius = 5,
fname.root="Splot",
dir="./",
window.size = "800x1100",
...)
参数----------Arguments----------
参数：plot.call
character vector containing single plot call
字符向量单一图呼叫
参数：x.pos
vector of x locations for interactive points
向量的x位置为互动点
参数：y.pos
vector of y locations for interactive points
y位置为向量的互动点
参数：xy.type
Indication of how the xpos and ypos values should be treated.Current options are "image.midpoint","image.boundaries", or "image.box".See details or vignette.
xpos和ypos值应如何是treated.Current选项指示是“image.midpoint”，的“image.boundaries”，或“image.box”查看详情或小插图。
参数：plot.extras
List of additional plotting calls that should be executed for the plot.
的图，应执行额外的绘图调用的列表。
参数：mai.mat
1 x 4 matrix of values to be passed in for each plots par mai. n is equal to the length of plot.calls. If NA, uses default margins.
1 x 4矩阵的值来传递为每个图面值迈。 n是等于plot.calls的长度。如果不适用，使用默认的页边距。
参数：mai.prc
logical indicating if mai mat values are percentages or hard coded values. If mai.proc is T, indicates percentage.
逻辑说明，如果迈垫值的百分比或硬编码值。如果mai.proc是T，表示百分比。
参数：xy.labels
list of matricies. All matricies should be of n x m where n is the length of y and m is the length of x when xy.type is "image.midpoint". All matricies should be of n x m where n is the length of y -1 and m is the length of x - 1 when xy.type is "image.boundaries" or "image.box". This information is displayed in the interactive plot window
列表的matricies。其中n是y的长度，m是x的长度当xy.type是“image.midpoint”时，所有matricies应该是NXM。其中n是长度的y -1和m是长度x - 1当xy.type中是“image.boundaries”或“image.box”时，是所有matricies应NXM。此信息将显示在交互式绘图窗口
参数：image.size
character indicating size of device.
字符指示的移动设备的大小。
参数：spot.radius
radius of circle in pixels indicating area that will be interactive around the center of graphed points
圆的半径，在指示区域的像素，将绘制的点的中心周围是交互式
参数：fname.root
Base name to use for all files created.
基本名称使用的所有文件创建。
参数：dir
directory path to where files should be created. Default creates files in working directory
应建立文件的目录路径。默认创建的文件在工作目录
参数：window.size
size of the html window
的HTML窗口的大小
参数：...
additional arguments to the makeImap function
其他参数的makeImap功能的
Details
详细信息----------Details----------
This function is a wrapper for the sendplot function to create a single interacive image. See initSplot, makeImap, and makeSplot for more information.
此功能是的包装创建一个单一的interacive形象的sendplot功能。见initSplot，makeImap和makeSplot的详细信息。
Users are encouraged to read the package vignette which includes a detailed discussion of all function arguments as well as several useful examples.
我们鼓励用户阅读的的包小插曲，其中包括详细讨论了函数的所有参数以及一些有用的例子。
值----------Value----------
Creates a static and interactive image
创建一个静态和交互式图像
注意----------Note----------
The interactive html plot currently only works in web browsers that implement java script.
交互的HTML图目前只适用于在实现Java脚本的Web浏览器。
The code used to create the javascript embedded in html file is a modified version of the javascript code or from the open source tooltip library. see reference links
用于创建JavaScript嵌入在HTML文件中的代码是修改后的版本的JavaScript代码的开源工具提示库。见参考文献链接
（作者）----------Author(s)----------
Lori A. Shepherd, Daniel P. Gaile
参考文献----------References----------
参见----------See Also----------
initSplot, makeImap,
initSplot，makeImap，
实例----------Examples----------
library(sendplot)
library(rtiff)
library(stats)
mai.mat = matrix(c(1,1,1,1), ncol=4)
carsX = as.matrix(mtcars)
carsX <- sweep(carsX, 2, colMeans(carsX, na.rm = TRUE))
sx <- apply(X=carsX, MARGIN=2, FUN="sd", na.rm = TRUE)
carsX <- sweep(carsX, 2, sx, "/")
plot.call="image(x=1:dim(carsX)[2],y=1:dim(carsX)[1], z=t(carsX),axes =
FALSE, xlab = '', ylab = '');axis(1,1:dim(carsX)[2],
labels=colnames(carsX),las = 2, line = -0.5, tick = 0,cex.axis =.8);
axis(4,1:dim(carsX)[1], labels=rownames(carsX),las = 2, line = -0.5,
tick = 0,cex.axis =.65)"
xy.labels=list(value=round(carsX,3))
x.labels=data.frame(label=colnames(carsX),
description=c("Miles/(US) gallon","Number of cylinders",
"Displacement (cu.in.)",
"Gross horsepower",
"Rear axle ratio",
"Weight (lb/1000)",
"1/4 mile time",
"V/S",
"Transmission (0 = automatic, 1 = manual)",
"Number of forward gears",
"Number of carburetors")
)
#set up temporary directory[设立临时目录]
direct = paste(tempdir(),"/",sep="")
direct
imagesend(plot.call=plot.call,
x.pos= 1:dim(carsX)[2],
y.pos= 1:dim(carsX)[1],
xy.type = "image.midpoints",
xy.labels=xy.labels,
spot.radius = 5,
fname.root="manImage", dir=direct,
window.size = "800x1100",
x.labels=x.labels, mai.mat=mai.mat)
转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。
注：
注1：为了方便大家学习，本文档为生物统计家园网机器人LoveR翻译而成，仅供个人R语言学习参考使用，生物统计家园保留版权。
注2：由于是机器人自动翻译，难免有不准确之处，使用时仔细对照中、英文内容进行反复理解，可以帮助R语言的学习。
注3：如遇到不准确之处，请在本贴的后面进行回帖，我们会逐渐进行修订。
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发表于 2012-9-30 00:50:29
