splitScaleTransform(flowCore)
splitScaleTransform()所属R语言包：flowCore
Compute the split-scale transformation describe by FL. Battye
计算分裂大规模改造描述佛罗里达州。 battye
译者：生物统计家园网 机器人LoveR
描述----------Description----------
The split scale transformation described by Francis L. Battye [B15] (Figure 13) consists of a logarithmic scale at high values and a linear scale at low values with a fixed transition point chosen so that the slope (first derivative) of the transform is continuous at that point. The scale extends to the negative of the transition value that is reached at the bottom of the display.
分割由Francis L. Battye [B15]（图13）中所述的大规模改造，包括在高价值的对数刻度，并选择在一个固定的过渡点的低价值的线性度，使变换斜率（一阶导数）是在这一点上连续。规模扩展到负，在显示屏的底部达到的过渡值。
用法----------Usage----------
splitScaleTransform(transformationId="defaultSplitscaleTransform", maxValue=1023, transitionChannel=64, r=192)
参数----------Arguments----------
参数：transformationId
A name to assign to the transformation. Used by the transform/filter integration routines.
一个名称分配的转变。使用变换/过滤器的集成程序。
参数：maxValue
Maximum value the transformation is applied to, e.g., 1023
最大价值的转化应用，例如，1023
参数：transitionChannel
Where to split the linear versus the logarithmic transformation, e.g., 64
凡分裂的线性对数变换，例如，64
参数：r
Range of the logarithm part of the display, ie. it may be expressed as the maxChannel - transitionChannel considering the maxChannel as the maximum value to be obtained after the transformation.
显示，即对数部分的范围。它可以表示作为考虑的最大值maxChannel的改造后获得的maxChannel - transitionChannel。
值----------Value----------
Returns values giving the inverse of the biexponential within a certain tolerance. This function should be used with care as numerical inversion routines often have problems with the inversion process due to the large range of values that are essentially 0. Do not be surprised if you end up with population splitting about w and other odd artifacts.
返回值给予一定的公差范围内的双指数的逆。此功能应小心使用，数值逆程序往往与反演过程中的问题，由于大范围的值，基本上都是0。不要惊讶，如果你最终人口约w和其他奇怪的文物分裂。
作者（S）----------Author(s)----------
N. LeMeur
参考文献----------References----------
Cytometric Fluorescence Data
参见----------See Also----------
transform
transform
举例----------Examples----------
data(GvHD)
ssTransform <- splitScaleTransform("mySplitTransform")
after.1 <- transform(GvHD, `FSC-H`= ssTransform(`FSC-H`))
opar = par(mfcol=c(2, 1))
plot(density(exprs(GvHD[[1]])[, 1]), main="Original")
plot(density(exprs(after.1[[1]])[, 1]), main="Split-scale Transform")
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 2012-2-25 17:48:36
