---
title: "RMarkdown Example"
author: "Derek H. Ogle"
date: "Tuesday, February 17, 2015"
output:
  word_document:
    fig_caption: yes
  pdf_document:
    fig_caption: yes
  html_document:
    fig_caption: yes
---

```{r setup, echo=FALSE, results='hide', message=FALSE}
# THIS SECTION CAN BE GENERALLY BE IGNORED IF VIEWED AS AN R SCRIPT ############
library(knitr)
source("../knitr_setup.R")
# A list of required packages -- for reproducibilities purpose
rqrd <- c("FSA")
# END OF SECTION TO BE IGNORED #################################################
library(FSA)      # catchCurve
```

# Introduction
Brook trout are important.  Isle Royale is a fun place to sample fish.

# Methods
We electrofished.  Caught and aged fish.  Used a catch curve analysis to estimate the instantaneous mortality rate.

# Results
```{r echo=FALSE, results='hide'}
df <- data.frame(age=0:5,catch=c(47,72,126,104,81,64))
df$logct <- log(df$catch)

ttl.catch <- sum(df$catch)
max.catch <- max(df$catch)
age.at.max.catch <- df$age[which(df$catch==max.catch)]

cc1 <- catchCurve(catch~age,data=df,ages=age.at.max.catch:5)
sum1 <- summary(cc1)
ci1 <- confint(cc1)
```

A total of `r ttl.catch` brook trout were captured.  The maximum catch of `r max.catch` fish occurred at age-`r age.at.max.catch`.  The instantaneous mortality rate computed for ages `r age.at.max.catch` to `r max(df$age)` was `r round(sum1["Z","Estimate"],3)` with a 95\% confidence interval from `r round(ci1["Z",1],3)` to `r round(ci1["Z",2],3)`.

```{r CatchCurve, echo=FALSE, fig.cap='Log catch versus age for Tobin Harbor Brook Trout, with the ages used for estimating Z shown.', fig.pos='h', fig.height=2.5, fig.width=2.5}
plot(cc1)
```

# Discussion

We did great work.