smatr-package(smatr)
smatr-package()所属R语言包:smatr
(Standardised) Major Axis Estimation and Testing Routines
(标准化)长轴的估计和检验程序
译者:生物统计家园网 机器人LoveR
描述----------Description----------
This package provides methods of fitting bivariate lines in allometry using the major axis (MA) or standardised major axis (SMA), and for making inferences about such lines. The available methods of inference include confidence intervals and one-sample tests for slope and elevation, testing for a common slope or elevation amongst several allometric lines, constructing a confidence interval for a common slope
这个包中提供的方法使用的长轴(MA)或标准化的长轴(SMA),并用于制作这样的行的推论在异速生长嵌合二元线。可用的推理方法,包括坡度和海拔的置信区间和样本测试,测试一个共同的斜坡或几个异速生长线之间的海拔,建设一个共同的斜率的置信区间
Details
详细信息----------Details----------
The key functions in this package are sma and ma, which will fit SMA and MA respectively, and construct confidence intervals or test hypotheses about slope or elevation in one or several samples, depending on how the arguments are used.
在此套件的主要功能是sma和ma,分别适合SMA和MA,构建置信区间或在一个或多个样品测试假设坡度或高程,根据参数是如何使用。
For example:
例如:
sma(y~x) will fit a SMA for y vs x, and report confidence intervals for the slope and elevation.
sma(y~x)适合一个SMA y与x,并报告置信区间的坡度和海拔。
sma(y~x, robust=T) will fit a robust SMA for y vs x using Huber's M estimation, and will report (approximate) confidence intervals for the slope and elevation.
sma(y~x, robust=T)适合一个强大的SMA y与x使用Huber的M估计,并会报告(近似)置信区间的坡度和海拔。
ma(y~x*groups-1) will fit MA lines for y vs x that are forced through the origin, where a separate MA is fitted to each of several samples as specified by the argument groups. It will also report results from a test of the hypothesis that the true MA slope is equal across all samples.
ma(y~x*groups-1)适合MA线y与x,被迫通过原点,一个独立的MA安装到指定的参数groups几个样品。这份报告还将从测试的假设,真正的MA斜率等于所有样品的结果。
For more details, see the help listings for sma and ma.
有关详细信息,请参阅的帮助列表sma和ma。
Note that the sma and ma functions replace the functions given in earlier package versions as line.cis, slope.test, elev.test, slope.com, elev.com and shift.com, although all of these functions and their help entries are still available.
需要注意的是sma和ma功能取代的功能在早期版本的包line.cis,slope.test,elev.test,slope.com,<所述>和elev.com,虽然所有这些功能和他们的帮助条目,仍然是可用的。
All procedures have the option of correcting for measurement error, although only in an approximate fashion, valid in large samples.
所有的程序有选择的测量误差修正,虽然只在一种近似的方式,在大样本有效。
Additional features of this package are listed below.
此程序包中的附加功能在下面列出。
meas.est Estimates the average variance matrix of measurement error for a set of subjects with repeated measures
meas.est估计的平均的重复测量的测量误差的协方差矩阵为一组的受试者
Example datasets:
示例数据集:
leaflife leaf longevity and leaf mass per area for plant species from different sites. Used to demonstrate the functionality of the sma and ma functions.
的leaflife叶寿命,比叶重区的植物种类从不同的地点。用于显示sma和ma函数的功能。
leafmeas leaf mass per area and photosynthetic rate for plant species from different sites. Used to demonstrate the meas.est function
leafmeas叶片单位面积的质量和光合速率的植物物种从不同的地点。用于演示的meas.est功能的
For more details, see the documentation for any of the individual functions listed above.
有关详细信息,请参阅上面列出的各个功能的文档。
(作者)----------Author(s)----------
Warton, D. <a href="mailto avid.Warton@unsw.edu.au">David.Warton@unsw.edu.au</a>, Duursma, R., Falster, D. and Taskinen, S.
参考文献----------References----------
参见----------See Also----------
sma,ma, meas.est, leaflife, leafmeas
sma,ma,meas.est,leaflife,leafmeas
实例----------Examples----------
# See ?sma and ?plot.sma for a full list of examples.[看到了吗?SMA和plot.sma的完整列表的例子。]
转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。
注:
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