diffmean(simba)
diffmean()所属R语言包：simba
Calculate the difference in Mean between two vectors
计算两个向量之间的差异平均数
译者：生物统计家园网 机器人LoveR
描述----------Description----------
The function can be used to calculate the difference in mean between two vectors. Statistical inference is obtained through permutation. F-ratio is also calculated. For data which is not normally distributed or lacks independence. The plotting method plots the actual values of the difference in mean and F against an histogram of the results of the permuted runs.
该函数可以被用于计算两个向量之间的平均值的差异在。统计推断是通过排列。 F-比率也被计算。对于数据不是正态分布或缺乏独立性。绘图法绘制的实际值的差异，对置换后的运行结果的直方图的均值和F。
用法----------Usage----------
diffmean(x, y, permutations = 1000, ...)
## S3 method for class 'dmn'
plot(x, y, which=3, two=2, ...)
参数----------Arguments----------
参数：x
Numeric vector. For the plotting method the dmn-object which should be printed (results from a diffmean operation). Plotting object in the plotting method.
数字矢量。对于绘图方法的dmn对象应打印（从diffmean操作的结果）。绘制对象的绘图方法。
参数：y
Numeric vector. Plotting object in the plotting method, optional when x has appropriate structure
数字矢量。绘图对象的绘图方法，选购时x有适当的结构
参数：permutations
Number of permutations.
的排列数目。
参数：which
which histogram should be plotted? 1 triggers the histogram for difference in mean, 2 the one for F. It defaults to 3: both histograms are plotted. If it is changed from default, the next argument (two) is automatically set to 1!
应绘制的直方图？ 1触发的直方图差异的意思是，一个用于F.，缺省值为3：两个直方图绘制。如果从默认值，下一个参数（two）被自动设置为1！
参数：two
Should the histograms be printed on a divided display? And how? Can only be set if which is set to 3. Defaults to 2, which means that the display is divided in two halfs and the histogram-plots are plotted side by side. 3 causes histograms to be plotted one on top of the other. If two = 1, the display is NOT automatically divided. Might be useful if more than one dmn-objekt is to be plotted on one display. Otherwise the function overrides the actual display settings.
如果印上一个分割显示直方图？怎么样？如果which设置为3，只可以设定。缺省值是2，这意味着显示被分成两个半区和直方图曲线绘制并排。 3原因直方图被绘制一个在另一个顶部上。如果two= 1，显示不是自动分割。可能是有用的，如果一个以上的dmn-OBJEKT是被绘制在一个显示。否则，函数覆盖了实际的显示设置。
参数：...
Further arguments to the plotting method or to function mean.
进一步的参数绘图方法或函数mean。
Details
详细信息----------Details----------
The two vectors do not need to share the same length but they should not be too different. Otherwise the function might give spurious results.
这两个向量并不需要共享相同的长度，但它们不应该有太大差别。否则，函数可能得到可靠的结果。
值----------Value----------
Returns a list giving the function call, the difference in Mean, the mean of vector x and y, the mean of means, the F-value, the significance of the difference in Mean and the significance of F, as well as the number of permutations. The results of the permutation runs can be retrieved with result\$bootsM (for the difference in mean) and result\$bootF (for the F-values). There is a plot method for easily illustrating the test. The difference is plotted against an histogram displaying the distribution of the permuted values.
返回一个列表，给出的函数调用，差平均数，平均矢量x和y的平均值手段，F值，差平均数的意义和F的意义，以及数排列。置换的运行的结果，可以检索与result\$bootsM（均值差异）和result\$bootF（F值）。有一个图很容易地说明了测试的方法。所不同的是绘制对一个显示对置换后的值的分布的直方图。
（作者）----------Author(s)----------
Gerald Jurasinski
参见----------See Also----------
diffslope, diffmich
diffslope，diffmich
实例----------Examples----------
data(abis)
## create subsetting vector describing the belonging to different[＃创建一个描述属于不同的子集向量]
## vegetationtypes[＃vegetationtypes]
tcs.sub <- rep(0, 61)
tcs.sub[abis.env[,29]==1] <- 1
tcs.sub[abis.env[,30]==1] <- 2
tcs.sub[abis.env[,31]==1] <- 3
## check distribution[＃检查分布]
summary(as.factor(tcs.sub))
## compare vegetation types "shrubby vegetation" (shrub=2) and[＃植被类型进行比较，“灌木植被”（灌木= 2）]
## "protected by snowcover" (protect=3) regarding difference in [“保护积雪”（保护= 3）差异]
## similarities[＃相似之处]
abis2.soer <- sim(abis.spec[tcs.sub==2,])
abis3.soer <- sim(abis.spec[tcs.sub==3,])
abis.23cmp <- diffmean(abis2.soer, abis3.soer)
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。
|
发表于 2012-9-30 02:28:53
