robustSmoothSpline(aroma.light)
robustSmoothSpline()所属R语言包：aroma.light
Robust fit of a Smoothing Spline
的鲁棒适合的平滑样条
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Fits a smoothing spline robustly using the L_1 norm. Currently, the algorithm is an iterative reweighted smooth spline algorithm which calls smooth.spline(x,y,w,...) at each iteration with the weights w equal to the inverse of the absolute value of the residuals for the last iteration step.
适合平滑样条，有力L_1规范。目前，该算法是一个迭代重加权光滑样条算法，这就要求smooth.spline(x,y,w,...)在每个迭代的权重w等于最后一次迭代步残差绝对值的倒数。
用法----------Usage----------
参数----------Arguments----------
参数：x
a vector giving the values of the predictor variable, or a list or a two-column matrix specifying x and y. If x is of class smooth.spline then x$x is used as the x values and x$yin are used as the y values.
vector预测变量的值，或list或两列matrix指定x和y。如果x类smooth.spline然后x$x的x值x$yin的y值。
参数：y
responses. If y is missing, the responses are assumed to be specified by x.
反应。 y如果丢失，反应被假定为指定由x。
参数：w
a vector of weights the same length as x giving the weights to use for each element of x. Default value is equal weight to all values.
vector权重相同的长度为x使用每x的元素的重量。默认值是同等重量的所有值。
参数：...
Other arguments passed to smooth.spline.
其他参数传递到smooth.spline。
参数：minIter
the minimum number of iterations used to fit the smoothing spline robustly. Default value is 3.
强劲，以适应光滑样条迭代的最小数目。默认值是3。
参数：maxIter
the maximum number of iterations used to fit the smoothing spline robustly. Default value is 25.
强劲，以适应光滑样条迭代的最大数量。默认值为25。
参数：sdCriteria
Convergence criteria, which the difference between the standard deviation of the residuals between two consecutive iteration steps. Default value is 2e-4.
趋同标准，连续两次迭代步骤之间的残差标准差之间的差异。默认值是2E-4。
参数：reps
Small positive number added to residuals to avoid division by zero when calculating new weights for next iteration.
小的正数添加到残差为下一次迭代计算新的权重时，为了避免被零除。
参数：tol
Passed to smooth.spline (R >= 2.14.0).
传递smooth.spline（R> = 2.14.0）。
参数：plotCurves
If TRUE, the fitted splines are added to the current plot, otherwise not.
如果TRUE，拟合样条添加到当前的图，否则不是。
值----------Value----------
Returns an object of class smooth.spline.
类smooth.spline返回一个对象。
作者（S）----------Author(s)----------
Henrik Bengtsson (<a href="http://www.braju.com/R/">http://www.braju.com/R/</a>)
参见----------See Also----------
smooth.spline.
smooth.spline。
举例----------Examples----------
data(cars)
attach(cars)
plot(speed, dist, main = "data(cars) & robust smoothing splines")
# Fit a smoothing spline using L_2 norm[适合平滑样条使用L_2规范]
cars.spl <- smooth.spline(speed, dist)
lines(cars.spl, col = "blue")
# Fit a smoothing spline using L_1 norm[适合平滑样条使用L_1范]
cars.rspl <- robustSmoothSpline(speed, dist)
lines(cars.rspl, col = "red")
# Fit a smoothing spline using L_2 norm with 10 degrees of freedom[适合平滑样条用10自由度L_2规范]
lines(smooth.spline(speed, dist, df=10), lty=2, col = "blue")
# Fit a smoothing spline using L_1 norm with 10 degrees of freedom[适合平滑样条用10自由度L_1范]
lines(robustSmoothSpline(speed, dist, df=10), lty=2, col = "red")
legend(5,120, c(
paste("smooth.spline [C.V.] => df =",round(cars.spl$df,1)),
paste("robustSmoothSpline [C.V.] => df =",round(cars.rspl$df,1)),
"standard with s( * , df = 10)", "robust with s( * , df = 10)"
), col = c("blue","red","blue","red"), lty = c(1,1,2,2), bg='bisque')
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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发表于 2012-2-25 12:07:18
