vxstats(SpatialVx)
vxstats()所属R语言包：SpatialVx
Calculate some common traditional forecast verification statistics.
一些常见的传统预测计算检验统计。
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Calculates some common traditional forecast verification statistics.
计算一些常见的传统检验统计预测。
用法----------Usage----------
vxstats(Fcst, Obs, which.stats = c("bias", "ts", "ets", "pod", "far", "f", "hk", "bcts", "bcets", "mse"), subset = NULL)
参数----------Arguments----------
参数：Fcst
k X m matrix of forecast values.
K X m矩阵的预测值。
参数：Obs
k X m matrix of observed values.
K X m矩阵的观测值。
参数：which.stats
character vector giving the names of the desired statistics. See Details below.
字符向量给予所需的统计信息的名称。请参见下面的详细信息。
参数：subset
numeric vector indicating a subset of the verification set over which to calculate the verification statistics.
数值向量指示验证集的一个子集来计算检验统计。
Details
详细信息----------Details----------
Computes several traditional verification statistics (see Wilks, 2006, Ch. 7; Jolliffe and Stephenson, 2012 for more on these forecast verification statistics; as well as the Issues, Methods and FAQ web page of the Joint Working Group on Forecast Verification of the World Meteorological Organization at: http://www.cawcr.gov.au/projects/verification/) The possible statistics that can be computed, as determined by 'which.stats' are:
计算几个传统的验证统计（见威尔克斯，2006年，第7章;乔利夫和Stephenson，2012年这些预报检验统计以及问题，方法和常见问题网页的世界预报检验联合工作组世界气象组织：http://www.cawcr.gov.au/projects/verification/）可以计算可能的统计，确定由which.stats是：
"bias" the number of forecast events divided by the number of observed events (sometimes called frequency bias).
“偏置”除以观察到的事件的数目（有时也被称为频率偏置）预测的事件的数目。
"ts" threat score, given by hits/(hits + misses + false alarms)
“TS”威胁的得分，通过点击/（命中数+未命中+假警报）
"ets" equitable threat score, given by (hits - hits.random)/(hits + misses + false alarms - hits.random), where 'hits.random' is the number of observed events times the number of forecast events divided by the total number of forecasts.
“ETS”公平威胁的得分，由（点击 - hits.random）/（命中数+未命中+假警报 - hits.random），，其中“hits.random”观察到的事件的时间划分预测事件的数量是多少总人数的预测。
"pod" probability of detecting an observed event (aka, hit rate). It is given by hits/(hits + misses).
“荚”检测观察到的事件的概率（又名命中率）。它是由点击率/（命中数+未命中）。
"far" false alarm ratio, given by (false alarms)/(hits + false alarms).
“远”假警率，由（假警报）/（命中数+假警报）。
"f" false alarm rate (aka probability of false detection) is given by (false alarms)/(correct rejections + false alarms).
“f”的误报率（又名概率的错误检测）是（假警报）/（正确拒绝+假警报）。
"hk" Hanssen-Kuipers Score is given by the difference between the hit rate ("pod") and the false alarm rate ("f").
“HK”的汉森，奎伯斯分数“荚”的命中率（）和误报率（“F”）之间的差异。
"bcts", "bcets", Bias Corrected Threat Score (Equitable Threat Score) as introduced in Mesinger (2008); see also Brill and Mesinger (2009). Also referred to as the dHdA versions of these scores.
“旅战斗队”，“bcets”，偏压校正威胁分数（公平威胁指数）中所介绍的Mesinger（2008年）;也布里尔和Mesinger的（2009）。也称为这些分数的dHdA版本的“。
"mse" mean square error (not a contingency table statistic, but can be used with binary fields). This is the only statistic that can be calculated here that does not require binary fields for 'Fcst' and 'Obs'.
“mse的”均方误差（不是一个应变表统计信息，但也可以用二进制字段）。这是唯一的统计量，可以计算出在这里，不要求二进制字段FCST和观测。
值----------Value----------
A list with components determined by which.stats, which may include any or all of the following.
与确定which.stats，其可以包括下列中的任何或所有的组件的列表。
参数：bias
numeric giving the frequency bias.
数字的频率偏差。
参数：ts
numeric giving the threat score.
数字的威胁得分。
参数：ets
numeric giving the equitable threat score, also known as the Gilbert Skill Score.
数字给予公平的威胁指数，也被称为吉尔伯特技能分数。
参数：pod
numeric giving the probability of decking an event, also known as the hit rate.
数值给封盖的事件的概率，也被称为的命中率。
参数：far
numeric giving the false alarm ratio.
数字的误报率。
参数：f
numeric giving the false alarm rate.
数字的误报率。
参数：hk
numeric giving the Hanssen and Kuipers statistic.
数字给人的汉森和奎伯斯的统计。
参数：bcts, bcets
numeric giving the bias corrected version of the threat- and/or equitable threat score.
数字提供的偏置校正的威胁和/或衡平法上的威胁得分的版本。
参数：mse
numeric giving the mean square error.
数值给出的均方误差。
警告----------Warning ----------
It is up to the user to provide the appropriate type of fields for the given statistics to be computed. For example, they must be binary for all types of which.stats except mse.
它是由用户为给定的统计以计算以提供适当的类型的字段。例如，他们必须是除了MSE which.stats所有类型的二进制文件。
注意----------Note----------
See the web page: http://www.cawcr.gov.au/projects/verification/ for more details about these statistics, and references.
有关详细信息，这些统计信息，引用请参阅网页：http://www.cawcr.gov.au/projects/verification/。
（作者）----------Author(s)----------
Eric Gilleland
参考文献----------References----------
参见----------See Also----------
hoods2d
hoods2d
实例----------Examples----------
# Calculate the traditional verification scores for the first geometric case[计算的第一个几何情况下，传统的验证分数]
# of the ICP.[的ICP。]
data(geom001)
data(geom000)
rmse <- sqrt(vxstats( geom001, geom000, which.stats="mse")$mse)
rmse
vxstats( geom001 > 0, geom000 > 0, which.stats=c("bias", "ts", "ets", "pod", "far", "f", "hk"))
data(geom005)
vxstats( geom005 > 0, geom000 >0, which.stats=c("ts","ets","bcts","bcets"))
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。
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发表于 2012-9-30 12:59:05
