panels(SciViews)
panels()所属R语言包：SciViews
More panel plots
更多的面板图
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Several panel plots that can be used with functions like coplot and pairs.
几个小组的图可以使用的功能，如coplot和pairs。
用法----------Usage----------
panel.reg(x, y, col = par("col"), bg = par("bg"), pch = par("pch"),
cex = par("cex"), lwd = par("lwd"), line.reg = lm, line.col = "red",
line.lwd = lwd, untf = TRUE, ...)
panel.ellipse(x, y, col = par("col"), bg = par("bg"), pch = par("pch"),
cex = par("cex"), el.level = 0.7, el.col = "cornsilk", el.border = "red",
major = TRUE, ...)
panel.cor(x, y, use = "everything", method = c("pearson", "kendall", "spearman"),
alternative = c("two.sided", "less", "greater"), digits = 2, prefix = "",
cex = par("cex"), cor.cex = cex, stars.col = "red", ...)
参数----------Arguments----------
参数：x
a numeric vector.
一个数值向量。
参数：y
a numeric vector of same length as x
一个数值向量相同的长度x
参数：col
the color of the points.
点的颜色。
参数：bg
the background color for symbol used for the points.
用于点的符号的背景颜色。
参数：pch
the symbol used for the points.
所用的符号的点。
参数：cex
the expansion factor used for the points.
膨胀系数的点。
参数：lwd
the line width.
的线宽度。
参数：line.reg
a function that calculates coefficients of a straight line, for instance, lm, or rlm for robust linear regression.
一个函数，计算直线的系数，例如，lm，或rlm稳健线性回归。
参数：line.col
the color of the line.
线的颜色。
参数：line.lwd
the width of the line.
线的宽度。
参数：untf
logical asking whether to untransform the straight line in case one or both axis are in log scale.
逻辑询问是否untransform直线的情况下，一个或两个轴是在对数刻度。
参数：el.level
the confidence level for the bivariate normal ellipse around data; the default value of 0.7 draws an ellipse of roughly +/-1 sd.
二元正常的椭圆形围绕数据的置信水平为默认值0.7绘制一个椭圆形的大约+ / -1 SD。
参数：el.col
the color used to fill the ellipse.
所用的颜色，填补了椭圆形。
参数：el.border
the color used to draw the border of the ellipse and the standardized major axis.
使用的颜色绘制椭圆，长轴标准化的边界。
参数：major
if TRUE, the standardized major axis is also drawn.
如果TRUE，标准化的长轴也引起。
参数：use
one of "everything", "all.obs", "complete.obs", "na.or.complete", or "pairwise.complete.obs" (can be abbreviated). Defines how the cor() function behaves with missing observations.
一个"everything"，"all.obs"，"complete.obs"，"na.or.complete"，或"pairwise.complete.obs"（可略）。定义cor()函数的行为与缺失观察。
参数：method
one of the three correlation coefficients "pearson", (default), "kendall", or "spearman" (can be abbreviated).
的相关系数"pearson"“（默认值），"kendall"或"spearman"（略）。
参数：alternative
the alternative hypothesis in correlation test, see cor.test.
备择假设在相关测试，请参阅cor.test。
参数：digits
the number of decimal digits to print when the correlation coefficient is printed in the graph.
打印时的相关系数是印在图中的小数位数。
参数：prefix
a prefix (character string) to use before the correlation coefficient printed in the graph.
前缀（字符串），使用图中的印刷前的相关系数。
参数：cor.cex
expansion coefficient for text in printing correlation coefficients.
中的文本打印相关系数的膨胀系数。
参数：stars.col
the color used for significance stars (with: *** p < 0.001, ** p < 0.1, * p < 0.05, . p < 0.1.
使用的颜色的意义明星（附：*** P <0.001，** P <0.1，* P <0.05，P <0.1。
参数：...
further arguments to plot functions.
进一步的参数绘图功能。
Details
详细信息----------Details----------
Theses functions should be used outside of the diagonal in pairs(), or with coplot(), as they are bivariate plots.
应使用这些功能的对角线pairs()，或用coplot()，因为他们是二元的图。
值----------Value----------
These functions return nothing and are used for their side effect of plotting in panels of composite plots.
这些函数返回任何结果，并图在面板的复合图用于其副作用。
（作者）----------Author(s)----------
Philippe Grosjean <phgrosjean@sciviews.org>, but code inspired from
<code>panel.smooth()</code> in graphics and <code>panel.car()</code> in package car.
参见----------See Also----------
coplot, pairs, panel.smooth, lm, ellipse, cor and
coplot，pairs，panel.smooth，lm，ellipse，cor
实例----------Examples----------
## Smooth lines in lower graphs and straight lines in upper graphs[＃流畅的线条，在下部的图表和在上图的直线]
pairs(trees, lower.panel = panel.smooth, upper.panel = panel.reg)
## Robust regression lines[＃稳健回归]
require(MASS) # For rlm()[RLM（）]
pairs(trees, panel = panel.reg, diag.panel = panel.boxplot,
reg.line = rlm, line.col = "blue", line.lwd = 2)
## A Double log graph[＃A双对数图]
pairs(trees, lower.panel = panel.smooth, upper.panel = panel.reg, log = "xy")
## Graph suitables to explore correlations (take care that there are potentially[＃图表适合的探索相关性（要小心，有潜在的]
## many simultaneous tests done here... So, you loose much power is the whole[＃同步测试在这里完成...所以，你失去很多权力是整个]
## analysis... use it just as an indication, nothing more!)[＃分析...使用它只是作为参考，仅此而已！）]
## Pearson's r[＃皮尔逊的R]
pairs(trees, lower.panel = panel.ellipse, upper.panel = panel.cor)
## Spearman's rho (ellipse and straight lines not suitable here!)[＃斯皮尔曼的Rho（椭圆和直线不适合在这里！）]
pairs(trees, lower.panel = panel.smooth, upper.panel = panel.cor,
method = "spearman", span = 1)
## Several groups (visualize how bad it is to consider the whole set at once!)[＃若干组（可视化是要考虑整套一次有多么糟糕！）]
pairs(iris[, -5], lower.panel = panel.smooth, upper.panel = panel.cor,
method = "kendall", span = 1, col = c("red3", "blue3", "green3")[iris$Species])
## Now analyze correlation for one species only[＃现在分析一个物种的相关性]
pairs(iris[iris$Species == "virginica", -5], lower.panel = panel.ellipse,
upper.panel = panel.cor)
## A coplot with custom panes[＃A coplot使用自定义窗格]
coplot(Petal.Length ~ Sepal.Length | Species, data = iris, panel = panel.ellipse)
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 2012-9-29 22:57:12
