plot.SiZer(SiZer)
plot.SiZer()所属R语言包:SiZer
Plot a SiZer map
绘制一个SIZER图
译者:生物统计家园网 机器人LoveR
描述----------Description----------
Plot a SiZer object that was created using SiZer().
画出一个SiZer对象,创建了使用SiZer(),。
用法----------Usage----------
## S3 method for class 'SiZer'.
## S3 method for class 'SiZer'
plot(x, ylab = expression(log[10](h)),
colorlist = c("red", "purple", "blue", "grey"), ...)
参数----------Arguments----------
参数:x
An object created using SiZer()
创建的对象使用SiZer()
参数:ylab
What the y-axis should be labled.
应标有什么的y轴。
参数:colorlist
What colors should be used. This is a vector that corresponds to 'decreasing', 'possibley zero', 'increasing', 'insufficient data'
应该使用什么颜色。这是一个向量,对应减少,possibley零“,”增加“,”数据不足
参数:...
Any other parameters to be passed to the function image.
任何其他参数被传递给函数的image。
Details
详细信息----------Details----------
The white lines in the SiZer map give a graphical representation of the bandwidth. The horizontal distance between the lines is 2h.
在SIZER图的白线得到的带宽的图形表示。线之间的水平距离是2h。
值----------Value----------
None
无
(作者)----------Author(s)----------
Derek Sonderegger
参考文献----------References----------
Chaudhuri, P., and J. S. Marron. 1999. SiZer for exploration of structures in curves. Journal of the American Statistical Association 94:807-823.
Hannig, J., and J. S. Marron. 2006. Advanced distribution theory for SiZer. Journal of the American Statistical Association 101:484-499.
Sonderegger, D.L., Wang, H., Clements, W.H., and Noon, B.R. 2009. Using SiZer to detect thresholds in ecological data. Frontiers in Ecology and the Environment 7:190-195.
参见----------See Also----------
SiZer,
SiZer,
实例----------Examples----------
# data('Arkansas')[数据(阿肯色州)]
# x <- Arkansas$year[X < - 阿肯色州美元一年]
# y <- Arkansas$sqrt.mayflies[Y < - 阿肯色$ sqrt.mayflies]
# Calculate the SiZer map for the first derivative[计算的一阶导数的图为SIZER]
# SiZer.1 <- SiZer(x, y, h=c(.5,10), degree=1, derv=1)[SiZer.1 < - SIZER(X,Y,H = C(.5,10),度= 1,柴油= 1)]
# plot(SiZer.1)[图(SiZer.1)]
# Calculate the SiZer map for the second derivative[计算SIZER图的二阶导数]
# SiZer.2 <- SiZer(x, y, h=c(.5,10), degree=2, derv=2);[SiZer.2 < - SIZER(X,Y,H = C(.5,10),程度,柴油= 2 = 2);]
# plot(SiZer.2)[图(SiZer.2)]
# By setting the grid.length larger, we get a more detailed SiZer[通过设置grid.length大,我们获得更详细的SIZER]
# map but it takes longer to compute. [图,但它需要更长的时间来计算。]
#[]
# SiZer.3 <- SiZer(x, y, h=c(.5,10), grid.length=100, degree=1, derv=1)[SiZer.3 < - SIZER(的x,y,H = C(.5,10),grid.length = 100度= 1,柴油= 1)]
# plot(SiZer.3)[图(SiZer.3)]
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。
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