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R语言 visualFields包 sapsunyiunv()函数中文帮助文档(中英文对照)

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发表于 2012-10-1 16:18:38 | 显示全部楼层 |阅读模式
sapsunyiunv(visualFields)
sapsunyiunv()所属R语言包:visualFields

                                        SUNY-IU normative reference values for Standard Automatic Perimetry
                                         SUNY-IU规范标准自动视野检查的参考值

                                         译者:生物统计家园网 机器人LoveR

描述----------Description----------

Normative reference values or (normative values or nv for short) for Standard Automatic Perimetry (SAP) obtained from a combination of control subjects from SUNY (Mitchel W Dul) and IU (William H Swanson and Victor E Malinovsky) databases.
参考标准值(规范值或简称NV)的标准自动视野计(SAP)从纽约州立大学(米切尔W DUL)和“IU(威廉Ĥ斯旺森和VictorË马利诺夫斯基)数据库的对照组的组合。


用法----------Usage----------


data( sapsunyiunv )



格式----------Format----------

This normative-value object is defined by some tables, variables, and sub-structures, some of which are mandatory and some which are not. Importantly an age linear model must be included for test pattern (24-2) and presentation algorithm (e.g. SITA standard). Also important are the tables specifying the settings. Think of the normative-value object as a structure with several levels. The first level has three main substructures with settings:
该规范的值对象定义的一些表,变量和子结构,其中的一些是强制性的和一些不。重要的是一个时代的线性模型必须包含的测试图案(24-2)和演示算法(例如SITA标准)。同样重要的是指定设定的表。想想几个层次的结构与价值规范的对象。第一级有三个主要的子结构的设置:




pmapsettings mandatory. Information about which percentiles are used for location-wise analysis in this nv and their corresponding color coding for display. This is a table with four columns. First column specifies the percentiles (in percent) for cutoffs and the other three columns are the corresponding RGB values (defined from 0 to 1) specifying the color code to use for values below that percentile
pmapsettings强制性。信息的百分点,用于分析nv和相应的颜色编码显示在此位置上。这是一个表,其中包括四列。第一列指定的百分(%)cutoffs和其他三列对应的RGB值(从0到1)指定的颜色代码值低于百分




globalco mandatory. Percentiles to be used for the analysis of globan indices such us mean deviation (MD), pattern standard deviation (PSD) or visual-field index (VFI)
globalco强制性。百分的分析的globan指数被用于我们的平均偏差(MD),模式标准差(PSD)或视野指数(VFI)




nvname mandatory. Name assigned to this normative-value object
nvname强制性。这个规范值对象指定的名称

From here age linear models, percentile values, etc are defined for combination of test patterns and presentation algorithms. It is important that the construction of the name for each of the normative-value for the particular test and presentation is in agreement with the values of tperimetry and talgorithm in vf. This is very important because it is the way visualFields can identify automatically which normative values are to be used with data for a particular visual field. For instance, for the test pattern 24-2 (p24d2) and the stimulus-presentation algorithm SITA standard (sitas), the substructure in the normative-values object must be called  p24d2_sitas. This substructure itself is composed of other strutures and tables. These are
从这里年龄的线性模型,百分位值,定义的测试模式,演示算法相结合等。重要的是,建筑的名称为每个特定的测试和演示的规范性价值是一致的值tperimetry和talgorithm中vf。这是非常重要的方式,因为它是visualFields规范值是要使用的数据的一个特定的视野,可以自动识别。例如,对于测试图案24-2(p24d2)和刺激呈现的算法SITA标准(sitas),的子结构规范值对象必须被称为p24d2_sitas。这种结构本身是由其他量大天然和表。这些都是




demographics optional. It has stats about the controls subjects used for the calculation of the normative values
demographics可选。它的控制科目的规范值的计算使用的统计




agelm mandatory. A table with two columns, intercept and slope, specifying a linear model modeling the (linear) decrease at each location of the sensitivities in decibels (dB) per year. These were calculated with the ageLinearModel. See locations 26 and 35 have NAs. That is because these are the locations that correspond anatomically with the blind spot (see vfsettings) and are hence  excluded from any analysis
agelm强制性。一个表有两列,截距和斜率,指定线性模型建模(线性)减少每年在每个位置的敏感性分贝(dB)。这些分别计算用的ageLinearModel。见26和35 NAS的位置。这是因为这些都是相对应的位置,解剖学上的盲点(见vfsettings),并因此排除任何分析




sds mandatory. A table with three columns with the standard deviations for threshold sensitivities, total-deviation values (TD), and pattern-deviation values (PD)
sds强制性。一个表有三列,阈值的敏感性,总偏差值(TD),和模式偏差值的标准偏差(PD)




TDpercloc mandatory. A table with as many columns as cutoff percentiles (rows) were defined in pmapsettings. Each column is the TD cutoff value for each percentile. It is used to get the probability map
TDpercloc强制性。截止百分位数(行)多列的表中定义的pmapsettings。每列是每个百分位数的TD临界值。它是用来得到概率映射图




PDpercloc mandatory. A table with as many columns as cutoff percentiles (rows) were defined in pmapsettings. Each column is the PD cutoff value for each percentile. It is used to get the probability map
PDpercloc强制性。截止百分位数(行)多列的表中定义的pmapsettings。每列是每个百分PD的临界值。它是用来得到概率映射图




percglo mandatory. A table with as many columns as cutoff percentiles (rows) were defined in globalco for global indices. Each row has a different statistical index. Most of them are not really used by convention. The statistical indices considered are mean and standard deviation of the threshold sensitivities (msens and ssens), mean and standard deviation of the TD values (mtdev and stdev), and mean and standard deviation of the PD values (mpdev and spdev). The two indices that are used by convention are mtdev and spdev, that is mean deviation (MD) and pattern standard deviation (PSD)
percglo强制性。截止百分位数(行)多列的表中定义的globalco全球指数。每行都有一个不同的统计指标。他们中的大多数都没有真正使用的惯例。考虑的统计指标的均值和标准差的阈值灵敏度(msens和ssens),均值和标准差的TD值(mtdev和stdev),均值和标准差的PD值(mpdev和spdev)。这两个指数所使用的惯例是mtdev和spdev,即平均偏差(MD),模式标准差(PSD)




percvfi mandatory. A table with as many columns as cutoff percentiles (rows) were defined in globalco for global indices. This table has data only for the VFI (mvfi) and the standard deviation of the VFI at each locaton (svfi)
percvfi强制性。截止百分位数(行)多列的表中定义的globalco全球指数。此表中有数据仅用于VFI(mvfi)和标准偏差的VFI在每个locaton(svfi)




nvtdrank optional, but necessary to run bebie with the option diff = TRUE. A table with two columns, mean normal Bebie TD rank curve and the standard deviation at each ranked location.
nvtdrank可选的,而且是必要的bebie的diff = TRUE运行。一个表有两列,平均正常Bebie TD的排名曲线和标准偏差在每个排名位置。




perctdrank optional, but necessary to run bebie with the option percentiles = TRUE. A table with as many columns as cutoff percentiles (rows) were defined in pmapsettings. Each column is the TD cutoff value for each percentile
perctdrank可选的,而且是必要的bebie的percentiles = TRUE运行。截止百分位数(行)多列的表中定义的pmapsettings。每列是每个百分TD临界值




perctdrankadj optional, but necessary to run bebie with the option diff = TRUE and percentiles = TRUE. Same as perctdrank but the difference from mean normal Bebie TD rank curve analysis
perctdrankadj可选的,而且是必要的bebie选项“diff = TRUE和percentiles = TRUE运行。同perctdrank但不同的平均正常Bebie TD排名曲线分析


(作者)----------Author(s)----------


Ivan Marin-Franch <imarinfr@indiana.edu>, William H Swanson, Victor Malinovsky, Mitchell Dul



参考文献----------References----------

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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