I wonder how to get LATEX table using xtable function from the following R code.
Block <- gl(8, 4)
A <- factor(c(0,1,0,1,0,1,0,1,0,1,0,1,0,1,0,1,0,1,0,1,
0,1,0,1,0,1,0,1,0,1,0,1))
B <- factor(c(0,0,1,1,0,0,1,1,0,1,0,1,1,0,1,0,0,0,1,1,
0,0,1,1,0,0,1,1,0,0,1,1))
C <- factor(c(0,1,1,0,1,0,0,1,0,0,1,1,0,0,1,1,0,1,0,1,
1,0,1,0,0,0,1,1,1,1,0,0))
Yield <- c(101, 373, 398, 291, 312, 106, 265, 450, 106, 306, 324, 449,
272, 89, 407, 338, 87, 324, 279, 471, 323, 128, 423, 334,
131, 103, 445, 437, 324, 361, 302, 272)
aovdat <- data.frame(Block, A, B, C, Yield)
summary(aov(Yield~Block+A*B+Error(A*Block), data=aovdat))
Error: A
Df Sum Sq Mean Sq
A 1 3465.3 3465.3
Error: Block
Df Sum Sq Mean Sq
Block 7 4499 642.71
Error: A:Block
Df Sum Sq Mean Sq F value Pr(>F)
B 1 41616 41616 3.5354 0.1091
Residuals 6 70628 11771
Error: Within
Df Sum Sq Mean Sq F value Pr(>F)
B 1 119568 119568 7.3751 0.01673 *
A:B 1 28 28 0.0017 0.96734
Residuals 14 226975 16213
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Using the following code
xtable(summary(aov(Yield~Block+A*B+Error(A*Block), data=aovdat)))
producing the following error
Error in rbind(deparse.level, ...) :
numbers of columns of arguments do not match
Is it possible to get a LaTeX table like this?
SOV Df Sum Sq Mean Sq F value Pr(>F)
A 1 3465.3 3465.3
Block 7 4499 642.71
B 1 41616 41616 3.5354 0.1091
Residuals 6 70628 11771
B 1 119568 119568 7.3751 0.01673 *
A:B 1 28 28 0.0017 0.96734
Residuals 14 226975 16213
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
summaryis producing four tables in a list, so usinglapplylike so:will produce a list of LaTeX tables.
A
forloop withprintwill produce the LaTeX code only, with the table names in the LaTeX caption.If you want all the tables as one, you need to do a bit of work because
rbinddoesn’t like tables with different numbers of columns.rbind.fillin the plyr package will do the jobbut we have to manually add the rownames back as data because a)
rbind.filldrops them, and b) they were duplicated anyway, whichxtablewouldn’t like.