R:在某些安装下使用示例数据进行线性假设检验(汽车包装)时出错

时间:2015-11-03 05:09:41

标签: r

我使用来自汽车包的linearHypothesis和我正在处理的数据得到错误,即使我使用帮助文件中的测试数据和代码,我也会收到同样的错误。但是,其他人不会在不同的操作系统上安装不同的错误。

直接来自帮助文件:

实施例

mod.davis <- lm(weight ~ repwt, data=Davis)

## the following are equivalent:
linearHypothesis(mod.davis, diag(2), c(0,1))
linearHypothesis(mod.davis, c("(Intercept) = 0", "repwt = 1"))
linearHypothesis(mod.davis, c("(Intercept)", "repwt"), c(0,1))
linearHypothesis(mod.davis, c("(Intercept)", "repwt = 1"))

## use asymptotic Chi-squared statistic
linearHypothesis(mod.davis, c("(Intercept) = 0", "repwt = 1"), test = "Chisq")

导致以下许多错误: &#34;顺序错误(nchar(cnames),减去= TRUE):   4个参数传递给.Internal(nchar),需要3&#34;

我的sessionInfo():

R version 3.2.0 (2015-04-16)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 7 x64 (build 7601) Service Pack 1

locale:
[1] LC_COLLATE=English_United States.1252 
[2] LC_CTYPE=English_United States.1252   
[3] LC_MONETARY=English_United States.1252
[4] LC_NUMERIC=C                          
[5] LC_TIME=English_United States.1252    

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
[1] car_2.1-0

loaded via a namespace (and not attached):
[1] Rcpp_0.11.5        lattice_0.20-31    MASS_7.3-40        grid_3.2.0        
[5] nlme_3.1-120       MatrixModels_0.4-1 SparseM_1.7        minqa_1.2.4       
[9] nloptr_1.0.4       Matrix_1.2-0       splines_3.2.0      lme4_1.1-7        
[13] pbkrtest_0.4-2     parallel_3.2.0     mgcv_1.8-6        nnet_7.3-9        
[17] quantreg_5.19   

然后一位朋友在另一台计算机上使用以下sessionInfo()运行它没有错误。知道发生了什么吗?

R version 3.0.2 (2013-09-25)
Platform: x86_64-apple-darwin10.8.0 (64-bit)

locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
[1] car_2.0-25

loaded via a namespace (and not attached):
 [1] grid_3.0.2      lattice_0.20-29 lme4_1.1-7      MASS_7.3-34     Matrix_1.1-4   
 [6] mgcv_1.8-3      minqa_1.2.3     nlme_3.1-117    nloptr_1.0.4    nnet_7.3-8     
[11] parallel_3.0.2  pbkrtest_0.4-2  quantreg_5.11   Rcpp_0.11.2     SparseM_1.6    
[16] splines_3.0.2   tools_3.0.2

0 个答案:

没有答案