waveIS(SpatialVx)
waveIS()所属R语言包：SpatialVx
Intensity Scale (IS) verification
强度等级（IS）验证
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Intensity Scale (IS) verification based on Casat et al (2004) and Casati (2010).
烈度表（IS）验证的基础上CASAT等人（2004）和CASATI（2010）。
用法----------Usage----------
waveIS(obj, J = NULL, wavelet.type = "haar", verbose = FALSE)
## S3 method for class 'waveIS'
plot(x, main1 = "X", main2 = "Y", which.plots = c("all", "mse", "ss", "energy"), level.label = NULL, ...)
## S3 method for class 'waveIS'
summary(object, ...)
参数----------Arguments----------
参数：obj
A list object as returned by hoods2dPrep.
一个List对象返回的hoods2dPrep。
参数：x,object
list object returned by waveIS.
列表中返回的对象waveIS。
参数：main1,main2
character giving labels for the plots where main1 refers to the verification field and main2 to the forecast field.
人物的图main1是指核查领域和main2的预报场给标签。
参数：which.plots
character vector naming one or more specific plots to do.
命名一个或多个字符向量具体图做。
参数：level.label
optional character vector to use for level names on the plot(s).
使用可选字符向量积（S）的级别名称。
参数：J
numeric integer giving the number of levels to use. If NULL and the field is dyadic, this will be log2(min(dim(X))), where X is a field from teh verification set. If NULL and the field is not dyadic, then J is set equal to 4. Note that if the fields are not dyadic, the function will be much slower.
数值整数，给出了使用的水平数。如果NULL和现场式，这将是为log2（分（DIM（X））），其中X是从德验证集的一个领域。如果为NULL字段不为矢，那么J设置为4。请注意，如果字段不矢，该函数将慢得多。
参数：wavelet.type
character giving the name of the wavelet type to use as accepted by dwt.2d and modwt.2d.
字符给小波类型的名称，使用所接受由dwt.2d和modwt.2d。
参数：verbose
logical, should progress information be printed to the screen?
逻辑的发展，应以信息打印到屏幕上？
参数：...
Not used by plot.waveIS. Only sort of used by summary.waveIS. One can put the argument silent=TRUE so that nothing is printed to the screen (useful if you just want the values calculated and stored without writing to the screen).
不使用plot.waveIS。只有样的summary.waveIS。人们可以提出论据沉默= TRUE，没有什么是有用的，如果你只是想要的值计算和存储，而无需编写的屏幕打印到屏幕上。
Details
详细信息----------Details----------
This function applies various statistics to the detail fields (in wavelet space) of a discrete wavelet decomposition (DWT) of the binary error fields for a verification set. In particular, the statistics described in Casati et al (2004) and Casati (2010) are calculated. This function depends on the waverify2d or mowaverify2d function (depending on whether the fields are dyadic or not, resp.), which themselves depend on the dwt.2d and idwt.2d or modwt.2d and imodwt.2d functions.
此功能适用于各种统计数据的离散小波分解（DWT）的二进制错误字段的验证集的详细信息字段（在小波空间）。特别是，卡萨蒂等人（2004）和卡萨蒂（2010）中描述的统计计算。此功能取决于waverify2d或mowaverify2d功能（根据字段是否为二进或不分别。），这本身取决于对dwt.2d和idwt.2d，或modwt.2d imodwt.2d功能。
See the references herein and the help files and references therein for dwt.2d and modwt.2d for more information on this approach, as well as Percival and Guttorp (1994) and Lindsay et al. (1996).
请参阅参考本文的帮助文件和参考文献，这种方法的更多信息，以及作为波斯富街及Guttorp的（1994）和林赛等dwt.2d和modwt.2d。 （1996年）。
值----------Value----------
A list object of class "waveIS" that contains the entire prep object passed in by obj, as well as additional components:
一个List对象的类“waveIS”，包含了整个的准备obj所传递的对象，以及额外的组件：
参数：EnVx,EnFcst
J X q matrices giving the energy for the verification and forecast fields, resp., for each threshold (columns) and scale (rows).
JX q矩阵的验证和预报场提供的能量，分别为，每个阈值（列）和规模（行）。
参数：MSE,SS
J X q matrices giving the mean square error and IS skill score for each threshold (column) and scale (rows).
JX q矩阵的均方误差，并为每个阈值（列）和规模（行）是技巧得分。
参数：Bias
numeric vector of length q giving the frequency bias of the original fields for each threshold.
数值向量的长度为q的每个阈值的原始字段给出的频率偏置。
plot.waveIS does not return any value. A plot is created on the current graphic device. summary.waveIS returns a list invisibly with the same components as returned by waveIS along with extra components:
plot.waveIS不返回任何值。有一个图是当前的图形设备上创建的。 summary.waveIS返回一个列表无形经由waveIS以及额外的组件具有相同的组件：
参数：MSEu,SSu,EnVx.u,EnFcst.u
length q numeric vectors giving the MSE, SS, and Vx and Fcst energy for each threshold (i.e., ignoring the wavelet decomposition).
长度为q的数值向量给出的MSE，SS和Vx和FCST能量为每个阈值（即，忽略了小波分解）。
参数：MSEperc,EnVx.perc,EnFcst.perc
J X q numeric matrices giving percentage form of MSE, Vx Energy and Fcst Energy values, resp.
JX的q的数字矩阵提供的MSE，VX能源和FCST能量值分别为百分比的形式。
参数：EnRelDiff
J X q numeric matrix giving the energy relative difference.
JX q数字矩阵，的能量相对差。
（作者）----------Author(s)----------
Eric Gilleland
参考文献----------References----------
IEEE Transactions on Geoscience and Remote Sensing, 34 (3), 771–787.
and P. Kumar, Eds., New York: Academic, pp. 325–343.
参见----------See Also----------
IS, int.scale.verify from package verification,
IS，int.scale.verify包verification，
dwt.2d, modwt.2d, idwt.2d, imodwt.2d, hoods2dPrep, hoods2d
dwt.2d，modwt.2d，idwt.2d，imodwt.2d，hoods2dPrep，hoods2d
实例----------Examples----------
data(UKobs6)
data(UKfcst6)
data(UKloc)
hold <- hoods2dPrep( "UKfcst6", "UKobs6", thresholds=c(0.1,0.2,0.5,1,2,5,10,20,50), levels=2^(8-1:8), loc=UKloc, units="mm/h")
look <- waveIS(hold, J=8, verbose=TRUE)
plot(look, which.plots="mse")
plot(look, which.plots="ss")
plot(look, which.plots="energy")
summary(look)
## Not run: [＃不运行：]
data(pert004)
data(pert000)
hold <- hoods2dPrep( "pert004", "pert000", thresholds=c(1,10,50), levels=1:4, loc=ICPg240Locs, units="mm/h")
look <- hoods2d( hold, verbose=TRUE)
plot( look)
## End(Not run)[＃（不执行）]
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 12:59:12
