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我想在输出上使用xtable函数。candisc::cancor但想不通。

library(xtable)
library(candisc)
data(Rohwer, package="heplots")
X <- as.matrix(Rohwer[,6:10])  # the PA tests
Y <- as.matrix(Rohwer[,3:5])   # the aptitude/ability variables
(cc <- cancor(X, Y, set.names=c("PA", "Ability")))
Canonical correlation analysis of:
         5   PA  variables:  n, s, ns, na, ss 
  with   3   Ability  variables:  SAT, PPVT, Raven 

    CanR  CanRSQ   Eigen percent    cum                          scree
1 0.6703 0.44934 0.81599   77.30  77.30 ******************************
2 0.3837 0.14719 0.17260   16.35  93.65 ******                        
3 0.2506 0.06282 0.06704    6.35 100.00 **                            

Test of H0: The canonical correlations in the 
current row and all that follow are zero

     CanR  WilksL      F df1   df2  p.value
1 0.67033 0.44011 3.8961  15 168.8 0.000006
2 0.38366 0.79923 1.8379   8 124.0 0.076076
3 0.25065 0.93718 1.4078   3  63.0 0.248814
xtable(cc)

Error in UseMethod("xtable") : 
  no applicable method for 'xtable' applied to an object of class "cancor"
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1 回答 1

5

如果您查看对象methods(xtable)没有方法,cancor但是xtable.data.frame我们希望可以使用它,就像cancor看起来一样的输出data.frames

但是,这些值不会通过cancor-look at返回str(cc)。它们是在print方法中计算的。看candisc:::print.cancor

所以创建一个快速提取函数来生成cancor输出为data.frames

outfun <- function(X) { 
              CanR = X$cancor  
              CanRSQ = CanR^2  
              Eigen = CanRSQ/(1 - CanRSQ)
              percent = 100 * Eigen/sum(Eigen)
              cum = cumsum(percent)
              list(tab1 = data.frame(CanR, CanRSQ, Eigen, percent, cum) ,
                   tab2 = as.data.frame(candisc:::Wilks.cancor(X)))
        }

运行辅助函数

(out <- outfun(cc))

# or run it like
out <- outfun(cancor(X, Y, set.names=c("PA", "Ability")))

然后可以xtable.data.frame用来生成xtable输出

xtable:::xtable.data.frame(out[[1]])

# % latex table generated in R 3.1.1 by xtable 1.7-3 package
# % Wed Sep 17 18:32:07 2014
# \begin{table}[ht]
# \centering
# \begin{tabular}{rrrrrr}
#   \hline
#  & CanR & CanRSQ & Eigen & percent & cum \\ 
#   \hline
# 1 & 0.67 & 0.45 & 0.82 & 77.30 & 77.30 \\ 
#   2 & 0.38 & 0.15 & 0.17 & 16.35 & 93.65 \\ 
#   3 & 0.25 & 0.06 & 0.07 & 6.35 & 100.00 \\ 
#    \hline
# \end{tabular}
# \end{table}

xtable:::xtable.data.frame(out[[2]])

您可以调整辅助函数以提取标题等,然后可以将其xtable.data.frame作为参数传递给。

一个可以帮助您入门的快速答案

于 2014-09-17T17:37:02.130 回答