I have searched the forum, the LaTeX user's guide by L. Lamport and a Danish online manual by L. Madsen - but I still can't get it right.
The answer might be where I looked - but I just don't get it.
I would like my tables to:
- be rotated 90 degrees (landscape)
- continue on the next page if one is too long for a single page
- start the columns on the next page with the same titles as on the first page
- have tablefootnotes at the bottom of the table
I have read that 'sidewaystable' (where the column-titles ARE transfered to the next page if I get it rigth?) is a float but that since 'longtable' is NOT a float I have to use 'lscape' which don't transfer the column-titles?
About the tablefootnotes... I'm not sure where to put them in the TeX-document? After which command/environment - or before which?
Any help would be appriciated. Thank you.
Code: Select all
\documentclass[a4paper, 12pt]{article}
\usepackage{booktabs}
\usepackage{tabularx}
\usepackage{latexsym}
%\usepackage{kpfonts}
\usepackage[english]{babel}
%\usepackage[round,sort&compress]{natbib} % Natbib for better citations %longnamesfirst
\usepackage{lscape} % landscape env
\usepackage[bottom]{footmisc}% places footnotes at page bottom
\usepackage{rotating}
\usepackage{longtable}
%\usepackage{tabu}
\usepackage{tablefootnote}
\usepackage{lipsum}
%\usepackage{blindtext}
%\usepackage{fancyref}
%\renewcommand{\fancyrefdefaultformat}{plain}
\usepackage[authoryear,round,colon]{natbib}
\begin{document}
\begin{landscape}
\scriptsize
\centering
\begin{longtable}{p{1,9cm}p{1,2cm}p{1,9cm}p{1,9cm}p{2cm}p{2,6cm}p{2,6cm}p{2,7cm}p{4,5cm}}
\caption{Improved Detection Models}
\label{tab:5}
\\
\toprule
\multicolumn{9}{c}{Dairy cows}
\\
\midrule
Paper&Focus&Method&Improvement&Sensor&Variables&Performance&Performance method&Misc
\\
\toprule
\citet{Ref166}&CM\newline Oestrus\newline Other diseases&Time series\newline Kalman filter&Cow-specific information: \newline DIM\newline Calved\newline In oestrus\newline Inseminated\newline In calf\newline Days since last oestrus observation&AMS-like sensors but in milking parlour&Milk yield\newline Temperature\newline EC\newline Activity\newline Concentrate intake&HSE (oestrus) 93 (SP 94)\newline HSP (CM) 99,6 (SE 8)&HSE (oestrus) confidence interval 95\newline HSP (CM) confidence interval 99,9&Model tested in four commercial farms (field condition)\\
\citet{Ref12}&CM&Multivariate model&Fuzzy logic&AMS sensors\newline SCC weekly from pooled samples&Milk yield\newline Milk flow rate\newline Time between milkings\newline Milk production rate\newline EC\newline SCC&HSE 92,9 (SP 93,9)\newline HSP 94,0 (SE 81,1)&HSE error rate of 95,5\%\newline HSP error rate of 96,1\% &Sensitivity set to be minimum 80\%\newline Three thresholds for definition of CM\\
%should EC be denotated quarter or udder? Performance method might need reformulation
\citet{Ref46}&CM&Univariate model (ISCC as threshold)\newline Univariate model (AMS-measured EC as threshold)\newline Multivariate model (combination of ISCC and EC)&Fuzzy logic&AMS-sensors\newline Inline SCC (ISCC)\newline Monthly laboratorial determination of SCC (FSCC)&ISCC\newline EC\newline FSCC\newline Visual observation&Highest Success Rate (HSR) 32\% (False alert rate (FAR) 1,2\%)\newline Lowest FAR 1,2\% (Success Rate 32\%)&HSR Combined model, largest time window\newline Lowest FAR Combined model, largest time window&Alert threshold adjustet to set sensitivity closest possible to 80\newline Four different time windows used\\
\citet{Ref297}&Mastitis\newline Lameness&Wavelet filtering\newline Vector autoregressive model (VAR)&Multivariate cumultative sum (MCUSUM)&Milk meter\newline Feeding troughs with sensors\newline Pedometer&EC\newline Milk Yield\newline Feeding pattern\newline Activity&Mastitis:\newline HSE 78,9 (SP 80,4)\newline HSP 80,4 (SE 78,9)\newline Lameness:\newline HSE 74,3 (SP 75,7)\newline HSP 81,0 (SE 74,2)&Mastitis:\newline HSE+HSP VAR+MCUSUM\newline Lameness: HSE VAR+MCUSUM\newline HSP Wavelet filtering+MCUSUM &Diseases defined as disease blocks\newline TP (cows/day) and FP (cows/day) registered\\
\citet{Ref288}&Lameness&StepMetrix (a logistic regression model that relates clinical lameness diagnosis to limb movement and calculates the probability of a cow being lame on one of it's hind limbs)&B-spline transformation of limb movement variables (LMV)&Force\newline Load cells&All variables at both limb- and cow level:\newline Peak ground reaction force\newline Average ground reaction force\newline Stance time of a limb\newline Forund reaction force integral&Hind limb:\newline HSE 99 (SP 97,0)\newline HSP 97,1 (SE 95,0)\newline Cow:\newline HSE 99,5 (SP 100)\newline HSE 100 (SE 99,5)&Spline-transformed (LMV)\newline Hind limb:\newline HSE 15 knots\newline HSP 13 knots\newline Cow:\newline HSE 15 knots\newline HSP 15 knots&No difference in accuracy related to three degrees of freedom\\
\citet{Ref244}&Lameness&Partial least squares discriminant analysis (PLS-DA)&Cross-validation\newline Logistic regression\newline Backward variable selection of originally 320 variables&AMS\newline Activity tag\newline Manual gait score&Parity 1: 17\newline Parity 2 28\newline (variables not specified)&Parity 1:\newline SE 79 SP 77\newline Parity 2:\newline SE 79 SP 83&Cross-validation (leave-one-cow-out)&Almost 50\% of observations (gait score 2) excluded\\
\citet{Ref264}&Disease onset&Mixed models\newline Autroregressive model&Health monitoring shemes\newline CUSUM\newline Shewhart control chart&Milk meter&25 health events\newline Parity\newline Number of calves\newline Calving difficulty&Target SP of 98,99 and 99,5\% used\newline SE estimated for four health event groups\newline Not reported in paper&-& Cows milked in parlour\\%not sure this should be included in review...
\citet{Ref265}&CM\newline Oestrus\newline Other diseases&Time series&Kalman filter\newline Cow information&Pedometer\newline &QMC\newline Milk yield\newline Milk temperature\newline Activity level\newline General cow information from MIS&Oestrus:\newline HSE 96,9 (SP 86,5)\newline CM:\newline HSE 90 (SP 98,2)\newline Other diseases (HSE 94,5) SP 93,5&Multivariate distribution of parameters\newline Cow level&Reference data partly from bacteriological culturing\newline Sensors for milk variables not described\newline Algorithm and threshold values developed in a pilot study\\
\midrule
\\
\hline
\end{longtable}
\end{landscape}
\end{document}
