Bsrgvty

This is more of an open-ended, personal opinion type question. I am trying to make a nice-looking table for a report. Here is what I have so far:

The contents of each are slightly different, but the formats are identical: 8 rows and 10 columns. The first column explains some of the variables being measured. After that, for the next nine columns, the columns are grouped depending on the clustering we used, 3 columns for each method.

Perks and drawbacks for the first table:

• (+) The vertical dividing lines sort of separate each of the blocks of the table.


• (-) The top-left part of the table looks absolutely disgusting, and it is weird that the list of variables is just surrounded by a box like that.

Perks and drawbacks for the second table:

• (-) Because there are no vertical lines, it may be harder to tell the block structure of the table.


• (+) Seems much more visually appealing than the first. I am not crazy about the empty space in the top left, but there is not much you can do about that, and it is not nearly as bad as the first table.

I also read somewhere that in papers and reports, vertical lines should never ever be used in tables. So the second table has that rule of thumb going for it as well.

Are there any tips/protocols that one should use when constructing tables of this nature? I should note that I used the pdflscape package to make the tables in a landscape format since I would like to fit them on one page.

Here is the code for the tables, sorry if it is a mess:

documentclassarticle

usepackagemultirow
usepackagepdflscape

begindocument

beginlandscape

sectionTables

begintable[ht]
 centering
 defarraystretch1.5

 begintabular cline2-10
 multicolumn1c & multicolumn3cNo Clustering & multicolumn3c$K$-means Clustering & multicolumn3cHierarchical Clustering \
 multicolumn1c & multicolumn3c-- & multicolumn3c$K=2$ & multicolumn3c$K=7$ \ cline2-10
 multicolumn1c & Lasso & Elastic Net & pcLasso & gLasso & sgLasso & pcLasso & gLasso & sgLasso & pcLasso \ hline 
 multirow2*Tuning Parameters & $lambda = $ & $lambda = $ & $lambda = $ & $lambda = $ & $lambda = $ & $lambda = $ & $lambda = $ & $lambda = $ & $lambda = $ \
 & -- & $alpha = 0.2$ & $textttrat = 0.95$ & -- & $alpha = $ & $textttrat = 0.95$ & -- & $alpha = $ & $textttrat = 0.95$ \
 Misclassifications & $6/31$ & $5/31$ & $5/31$ & $5/31$ & $/31$ & $4/31$ & $5/31$ & $/31$ & $3/31$ \
 Non-zero Coefficients & $16$ & $63$ & $30$ & $1909$ & & $13$ & $687$ & & $7$ \
 Non-zero Groups & -- & -- & -- & $1$ & & & $1$ & & \ hline
 endtabular
 captionThe performance of various models on the colon data set.
 labelcolontable

 vspace0.45cm % max is 0.49cm, 0.5cm causes page break

 begintabularcccccccccc hline
 & multicolumn3cNo Clustering & multicolumn3c$K$-means Clustering & multicolumn3cHierarchical Clustering \
 & multicolumn3c-- & multicolumn3c$K=2$ & multicolumn3c$K=5$ \ hline
 & Lasso & Elastic Net & pcLasso & gLasso & sgLasso & pcLasso & gLasso & sgLasso & pcLasso \ hline
 multirow2*Tuning Parameters & $lambda = $ & $lambda = $ & $lambda = $ & $lambda = $ & $lambda = $ & $lambda = $ & $lambda = $ & $lambda = $ & $lambda = $ \
 & -- & $alpha = 0.8$ & $textttrat = 0.95$ & -- & $alpha = $ & $textttrat = 0.95$ & -- & $alpha = $ & $textttrat = 0.95$ \
 Misclassifications & $5/36$ & $3/36$ & $3/36$ & $5/36$ & $/36$ & $2/36$ & $4/36$ & $/36$ & $2/36$ \
 Non-zero Coefficients & $14$ & $28$ & $41$ & $7129$ & & $62$ & $2714$ & & $46$ \
 Non-zero Groups & -- & -- & -- & $2$ & & & $2$ & & \ hline
 endtabular
 captionThe performance of various models on the leukemia data set.
 labelleuktable

endtable

endlandscape

enddocument

I'd recommend the usage of the booktabs package especially the use of its cmidrule command with which you can easily overcome the drawback that you listed for your second table. I have also used the tabularx package that might come in handy, if the contents of your first column get longer than they currently are as the X type column allows for automated line breaks and ensures that the whole table is exactly as wide as the specified length (linewidth in case of the following MWE):

documentclassarticle

usepackagemultirow
usepackagepdflscape
usepackagebooktabs
usepackagetabularx

begindocument

beginlandscape

sectionTables


begintable[ht]
 begintabularxlinewidthXccccccccc toprule
 & multicolumn3cNo Clustering & multicolumn3c$K$-means Clustering & multicolumn3cHierarchical Clustering \ 
 & multicolumn3c-- & multicolumn3c$K=2$ & multicolumn3c$K=5$ \ 
 cmidrule(r)2-4 cmidrule(lr)5-7 cmidrule(l)8-10
 & Lasso & Elastic Net & pcLasso & gLasso & sgLasso & pcLasso & gLasso & sgLasso & pcLasso \ midrule
 Tuning Parameters & $lambda = $ & $lambda = $ & $lambda = $ & $lambda = $ & $lambda = $ & $lambda = $ & $lambda = $ & $lambda = $ & $lambda = $ \ 
 & -- & $alpha = 0.8$ & $textttrat = 0.95$ & -- & $alpha = $ & $textttrat = 0.95$ & -- & $alpha = $ & $textttrat = 0.95$ \ addlinespace
 Misclassifications & $5/36$ & $3/36$ & $3/36$ & $5/36$ & $/36$ & $2/36$ & $4/36$ & $/36$ & $2/36$ \
 Non-zero Coefficients & $14$ & $28$ & $41$ & $7129$ & & $62$ & $2714$ & & $46$ \
 Non-zero Groups & -- & -- & -- & $2$ & & & $2$ & & \ bottomrule
 endtabularx
 captionThe performance of various models on the leukemia data set.
 labelleuktable
endtable
endlandscape

enddocument

How about this layout? I've put the caption above the table, which is the typographic traditional position, for obvious reasons. The booktabs package defines horizontal rules with variable thickness and some vertical padding above and below. Furthermore, the cmidrules can help visualise the groups of columns, using their optional trimming arguments l and r:

documentclassarticle
usepackagemultirow
usepackagebooktabs, caption
usepackage[usestackEOL]stackengine
usepackagepdflscape

begindocument

beginlandscape

sectionTables

begintable[ht]
 centering
 defarraystretch1.5
setlengthcmidrulewidthlightrulewidth
setlengthtabcolsep4pt
 captionThe performance of various models on the leukemia data set.
 labelleuktable
 begintabular@,lccc@qquadccc@qquadccc@,%
 & multicolumn3cshortstackNo Clustering\ --hspace*2.5em & multicolumn3cshortstack$K$-means Clustering \ $K = 2$hspace*2.5em & multicolumn3cshortstackHierarchical Clustering\$K = 5$hspace*0.5em \
 cmidrule(r2.5em)2-4 cmidrule(r2.5em)5-7 cmidrule(r0.5em)8-10
 & Lasso & Elastic Net & pcLasso & gLasso & sgLasso & pcLasso & gLasso & sgLasso & pcLasso \ midrule
 multirow1.75*Tuning Parameters & $lambda = $ & $lambda = $ & $lambda = $ & $lambda = $ & $lambda = $ & $lambda = $ & $lambda = $ & $lambda = $ & $lambda = $ \[-1.5ex]
 & -- & $alpha = 0.8$ & $textttrat = 0.95$ & -- & $alpha = $ & $textttrat = 0.95$ & -- & $alpha = $ & $textttrat = 0.95$ \
addlinespace[0.5ex]
 Misclassifications & $5/36$ & $3/36$ & $3/36$ & $5/36$ & $/36$ & $2/36$ & $4/36$ & $/36$ & $2/36$ \
addlinespace[0.5ex]
 Non-zero Coefficients & $14$ & $28$ & $41$ & $7129$ & & $62$ & $2714$ & & $46$ \
addlinespace[0.5ex]
 Non-zero Groups & -- & -- & -- & $2$ & & & $2$ & & \ bottomrule
 endtabular

endtable

endlandscape

enddocument