friedman.test(stats)
friedman.test()所属R语言包：stats
Friedman Rank Sum Test
弗里德曼等级和检验
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Performs a Friedman rank sum test with unreplicated blocked data.
执行弗里德曼封锁与非复制数据的秩和检验。
用法----------Usage----------
friedman.test(y, ...)
## Default S3 method:[默认方法]
friedman.test(y, groups, blocks, ...)
## S3 method for class 'formula'[类formula的方法]
friedman.test(formula, data, subset, na.action, ...)
参数----------Arguments----------
参数：y
either a numeric vector of data values, or a data matrix.
无论是数据值的数字向量，或数据矩阵。
参数：groups
a vector giving the group for the corresponding elements of y if this is a vector; ignored if y is a matrix. If not a factor object, it is coerced to one.
一个向量组给予相应的元素y如果这是一个向量;忽略y如果是一个矩阵。如果对象不是一个因素，它是被迫的一个。
参数：blocks
a vector giving the block for the corresponding elements of y if this is a vector; ignored if y is a matrix. If not a factor object, it is coerced to one.
矢量给予相应的元素块y如果这是一个向量;忽略y如果是一个矩阵。如果对象不是一个因素，它是被迫的一个。
参数：formula
a formula of the form a ~ b | c, where a, b and c give the data values and corresponding groups and blocks, respectively.
一个公式的形式a ~ b | c，其中a，b和c提供的数据值和相应的组块，分别。
参数：data
an optional matrix or data frame (or similar: see model.frame) containing the variables in the formula formula. By default the variables are taken from environment(formula).
一个可选的矩阵或数据框（或类似：看到model.frame）包含公式formula的变量。默认情况下采取的变量从environment(formula)。
参数：subset
an optional vector specifying a subset of observations to be used.
一个可选的向量，指定要使用的意见的一个子集。
参数：na.action
a function which indicates what should happen when the data contain NAs. Defaults to getOption("na.action").
一个函数，它表示数据时，包含NA的，应该发生什么。 getOption("na.action")默认。
参数：...
further arguments to be passed to or from methods.
进一步的参数被传递到或从方法。
Details
详情----------Details----------
friedman.test can be used for analyzing unreplicated complete block designs (i.e., there is exactly one observation in y for each combination of levels of groups and blocks) where the normality assumption may be violated.
friedman.test可以用来分析非复制完整的块设计（即，恰好有一个观察ygroups和blocks水平的组合）在常态假设每个可能受到侵犯。
The null hypothesis is that apart from an effect of blocks, the location parameter of y is the same in each of the groups.
零假设是，除了从blocks，y位置参数是一样的groups的影响。
If y is a matrix, groups and blocks are obtained from the column and row indices, respectively. NA's are not allowed in groups or blocks; if y contains NA's, corresponding blocks are removed.
y如果是一个矩阵，groups和blocks列和行指数，分别获得。 NA是不允许groups或blocks如果y包含NA，相应的块被删除。
值----------Value----------
A list with class "htest" containing the following components:
一类"htest"包含以下组件的列表：
参数：statistic
the value of Friedman's chi-squared statistic.
弗里德曼的卡方统计值。
参数：parameter
the degrees of freedom of the approximate chi-squared distribution of the test statistic.
自由的近似卡方检验统计量的分布度。
参数：p.value
the p-value of the test.
p值的测试。
参数：method
the character string "Friedman rank sum test".
字符串"Friedman rank sum test"。
参数：data.name
a character string giving the names of the data.
字符串提供的数据的名称。
参考文献----------References----------
Nonparametric Statistical Methods. New York: John Wiley & Sons. Pages 139–146.
参见----------See Also----------
quade.test.
quade.test。
举例----------Examples----------
## Hollander & Wolfe (1973), p. 140ff.[＃霍兰德和沃尔夫（1973），P。 140ff。]
## Comparison of three methods ("round out", "narrow angle", and[＃比较三种方法（“圆”，“窄角”，]
## "wide angle") for rounding first base. For each of 18 players[＃“广角”）四舍五入第一基地。对于每个18岁以下球员]
## and the three method, the average time of two runs from a point on[＃三种方法，从一个点上的平均时间两分]
## the first base line 35ft from home plate to a point 15ft short of[＃第一底线从本垒点15英尺短的35英尺]
## second base is recorded.[记录＃二垒。]
RoundingTimes <-
matrix(c(5.40, 5.50, 5.55,
5.85, 5.70, 5.75,
5.20, 5.60, 5.50,
5.55, 5.50, 5.40,
5.90, 5.85, 5.70,
5.45, 5.55, 5.60,
5.40, 5.40, 5.35,
5.45, 5.50, 5.35,
5.25, 5.15, 5.00,
5.85, 5.80, 5.70,
5.25, 5.20, 5.10,
5.65, 5.55, 5.45,
5.60, 5.35, 5.45,
5.05, 5.00, 4.95,
5.50, 5.50, 5.40,
5.45, 5.55, 5.50,
5.55, 5.55, 5.35,
5.45, 5.50, 5.55,
5.50, 5.45, 5.25,
5.65, 5.60, 5.40,
5.70, 5.65, 5.55,
6.30, 6.30, 6.25),
nrow = 22,
byrow = TRUE,
dimnames = list(1 : 22,
c("Round Out", "Narrow Angle", "Wide Angle")))
friedman.test(RoundingTimes)
## => strong evidence against the null that the methods are equivalent[＃=>有力的证据，对空，该方法是等效的]
## with respect to speed[＃方面加快]
wb <- aggregate(warpbreaks$breaks,
by = list(w = warpbreaks$wool,
t = warpbreaks$tension),
FUN = mean)
wb
friedman.test(wb$x, wb$w, wb$t)
friedman.test(x ~ w | t, data = wb)
转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。
注：
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发表于 2012-2-16 21:42:10
