Blurb about the data, timeline it was taken, reason it was measured, where it was measured.
Point of this dashboard - what analysis was done
Variable names - abbreviations - and meaning
Put healthy tree image here
Put image of pine beetle here, possibly with native range and other info
Put image of results from pine beetle infestation
---
title: "HGEN612 - Klimek - Project 02 Code Checkpoint"
output:
flexdashboard::flex_dashboard:
source_code: embed
# orientation: rows
vertical_layout: fill
theme: yeti #readable - try out different themes (pleasing and aesthetic)
logo: ../img/tree-logo-resized.png
favicon: ../img/tree-logo-resized.png #Find beetle favicon
---
```{r setup, include=FALSE}
library(flexdashboard)
# Tables
library(DT) #data table
# Plotting
library(ggplot2)
library(plotly)
# Analysis
library(corrr) #correlation matrix
# Other
library(emo) #emojis
```
Readme
======
Column {.tabset}
--------
### Readme
Blurb about the data, timeline it was taken, reason it was measured, where it was measured.
Point of this dashboard - what analysis was done
### Data Library
Variable names - abbreviations - and meaning
The progression of a pine beetle infestation {.storyboard}
=====
### Frame 1 - healthy tree
Put healthy tree image here
```{r}
```
### Frame 2 - pine beetle
Put image of pine beetle here, possibly with native range and other info
```{r}
```
### Frame 3 - put dead tree here
Put image of results from pine beetle infestation
```{r}
```
### Maybe a frame 4? - overview map of infestation
```{r}
```
Data Overview
=====================================
Column
-----------------------------------------------------------------------
### Scatterplot with variables of interest
```{r}
plot_tree <- ggplot(trees, aes(Girth, Height)) +
geom_point(aes(colour = Volume), size = 4) +
#scale_color_gradient(low="blue", high="red") +
scale_color_gradientn(colours = rainbow(5)) +
theme_bw()
ggplotly(plot_tree)
```
Column
----
### Data Table
```{r}
datatable(trees,
caption = "LOOK AT THESE TREES",
options = list(
scrolly = "450px"
))
```
Plot Matrix with Variables of Interest
=======
{.tabset}
----
### Matrix plot showing relation of variables
### Graphs prior to data transformation
### Graphs after data transformation measures
Lasso
=======
Column
----
### Logistic Regression Feature
```{r}
```
Column
----
### AUC plot
```{r}
```
### Meter/gauge
```{r}
```
Ridge
=======
Column
----
### Logistic Regression Feature
```{r}
```
Column
----
### AUC plot
```{r}
```
### Meter/gauge
```{r}
```