geom_contour

_posts/ggplot2/2019-08-09-geom_contour.Rmd

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+---
+title: geom_contour | Examples | Plotly
+name: geom_contour
+permalink: ggplot2/geom_contour/
+description: How to make a contour in ggplot2 using geom_contour.
+layout: base
+thumbnail: thumbnail/geom_contour.jpg
+language: ggplot2
+page_type: example_index
+has_thumbnail: true
+display_as: basic
+order: 3
+output:
+  html_document:
+    keep_md: true
+---
+
+```{r, echo = FALSE, message=FALSE}
+knitr::opts_chunk$set(message = FALSE, warning=FALSE)
+Sys.setenv("plotly_username"="RPlotBot")
+Sys.setenv("plotly_api_key"="q0lz6r5efr")
+```
+
+### New to Plotly?
+
+Plotly's R library is free and open source!<br>
+[Get started](https://plot.ly/r/getting-started/) by downloading the client and [reading the primer](https://plot.ly/r/getting-started/).<br>
+You can set up Plotly to work in [online](https://plot.ly/r/getting-started/#hosting-graphs-in-your-online-plotly-account) or [offline](https://plot.ly/r/offline/) mode.<br>
+We also have a quick-reference [cheatsheet](https://images.plot.ly/plotly-documentation/images/r_cheat_sheet.pdf) (new!) to help you get started!
+
+### Version Check
+
+Version 4 of Plotly's R package is now [available](https://plot.ly/r/getting-started/#installation)!<br>
+Check out [this post](http://moderndata.plot.ly/upgrading-to-plotly-4-0-and-above/) for more information on breaking changes and new features available in this version.
+
+```{r}
+library(plotly)
+packageVersion('plotly')
+```
+
+### Basic geom\_contour plot
+geom\_contour produces a similar output to geom\_density\_2d, except it uses a third variable for the values rather than frequency. The volcano dataset comes pre-loaded on R.
+
+```{r, results='hide'}
+library(plotly)
+library(reshape2)
+df <- melt(volcano)
+
+p <- ggplot(df, aes(Var1, Var2, z= value)) +
+  geom_contour() +
+  scale_fill_distiller(palette = "Spectral", direction = -1)
+p <- ggplotly(p)
+
+# Create a shareable link to your chart
+# Set up API credentials: https://plot.ly/r/getting-started
+chart_link = api_create(p, filename="geom_contour/basic-plot")
+chart_link
+```
+
+```{r echo=FALSE}
+chart_link
+```
+
+### Coloured Plot
+[See here](https://ggplot2.tidyverse.org/reference/scale_brewer.html) for a list of colour palettes that come with the brewer (discrete) and distiller (continuous) packages.
+
+```{r, results='hide'}
+library(plotly)
+library(reshape2)
+df <- melt(volcano)
+
+p <- ggplot(df, aes(Var1, Var2, z= value, colour=stat(level))) +
+  geom_contour() +
+  scale_colour_distiller(palette = "YlGn", direction = 1)
+ggplotly(p)
+
+# Create a shareable link to your chart
+# Set up API credentials: https://plot.ly/r/getting-started
+chart_link = api_create(p, filename="geom_contour/coloured-plot")
+chart_link
+```
+
+```{r echo=FALSE}
+chart_link
+```
+
+### Filled Plot
+It's possible to colour in each of the layers, by changing geom\_contour to stat\_contour as below. As the edges of the graph indicate, filled contour plots only work when each layer is an enclosed shape rather than an open line; a geom more suited to this functionality would be geom\_tile or geom\_raster.
+
+```{r, results='hide'}
+library(plotly)
+library(reshape2)
+df <- melt(volcano)
+
+p <- ggplot(df, aes(Var1, Var2, z= value)) +
+  stat_contour(geom="polygon",aes(fill=stat(level))) +
+  scale_fill_distiller(palette = "Spectral", direction = -1)
+ggplotly(p)
+
+# Create a shareable link to your chart
+# Set up API credentials: https://plot.ly/r/getting-started
+chart_link = api_create(p, filename="geom_contour/filled-plot")
+chart_link
+```
+
+```{r echo=FALSE}
+chart_link
+```
+

_posts/ggplot2/2019-08-09-geom_contour.md

@@ -0,0 +1,107 @@
+---
+title: geom_contour | Examples | Plotly
+name: geom_contour
+permalink: ggplot2/geom_contour/
+description: How to make a contour in ggplot2 using geom_contour.
+layout: base
+thumbnail: thumbnail/geom_contour.jpg
+language: ggplot2
+page_type: example_index
+has_thumbnail: true
+display_as: basic
+order: 3
+output:
+  html_document:
+    keep_md: true
+---
+
+
+
+### New to Plotly?
+
+Plotly's R library is free and open source!<br>
+[Get started](https://plot.ly/r/getting-started/) by downloading the client and [reading the primer](https://plot.ly/r/getting-started/).<br>
+You can set up Plotly to work in [online](https://plot.ly/r/getting-started/#hosting-graphs-in-your-online-plotly-account) or [offline](https://plot.ly/r/offline/) mode.<br>
+We also have a quick-reference [cheatsheet](https://images.plot.ly/plotly-documentation/images/r_cheat_sheet.pdf) (new!) to help you get started!
+
+### Version Check
+
+Version 4 of Plotly's R package is now [available](https://plot.ly/r/getting-started/#installation)!<br>
+Check out [this post](http://moderndata.plot.ly/upgrading-to-plotly-4-0-and-above/) for more information on breaking changes and new features available in this version.
+
+
+```r
+library(plotly)
+packageVersion('plotly')
+```
+
+```
+## [1] '4.8.0.9000'
+```
+
+### Basic geom\_contour plot
+geom\_contour produces a similar output to geom\_density\_2d, except it uses a third variable for the values rather than frequency. The volcano dataset comes pre-loaded on R.
+
+
+```r
+library(plotly)
+library(reshape2)
+df <- melt(volcano)
+
+p <- ggplot(df, aes(Var1, Var2, z= value)) +
+  geom_contour() +
+  scale_fill_distiller(palette = "Spectral", direction = -1)
+p <- ggplotly(p)
+
+# Create a shareable link to your chart
+# Set up API credentials: https://plot.ly/r/getting-started
+chart_link = api_create(p, filename="geom_contour/basic-plot")
+chart_link
+```
+
+<iframe src="https://plot.ly/~RPlotBot/5832.embed" width="800" height="600" id="igraph" scrolling="no" seamless="seamless" frameBorder="0"> </iframe>
+
+### Coloured Plot
+[See here](https://ggplot2.tidyverse.org/reference/scale_brewer.html) for a list of colour palettes that come with the brewer (discrete) and distiller (continuous) packages.
+
+
+```r
+library(plotly)
+library(reshape2)
+df <- melt(volcano)
+
+p <- ggplot(df, aes(Var1, Var2, z= value, colour=stat(level))) +
+  geom_contour() +
+  scale_colour_distiller(palette = "YlGn", direction = 1)
+ggplotly(p)
+
+# Create a shareable link to your chart
+# Set up API credentials: https://plot.ly/r/getting-started
+chart_link = api_create(p, filename="geom_contour/coloured-plot")
+chart_link
+```
+
+<iframe src="https://plot.ly/~RPlotBot/5834.embed" width="800" height="600" id="igraph" scrolling="no" seamless="seamless" frameBorder="0"> </iframe>
+
+### Filled Plot
+It's possible to colour in each of the layers, by changing geom\_contour to stat\_contour as below. As the edges of the graph indicate, filled contour plots only work when each layer is an enclosed shape rather than an open line; a geom more suited to this functionality would be geom\_tile or geom\_raster.
+
+
+```r
+library(plotly)
+library(reshape2)
+df <- melt(volcano)
+
+p <- ggplot(df, aes(Var1, Var2, z= value)) +
+  stat_contour(geom="polygon",aes(fill=stat(level))) +
+  scale_fill_distiller(palette = "Spectral", direction = -1)
+ggplotly(p)
+
+# Create a shareable link to your chart
+# Set up API credentials: https://plot.ly/r/getting-started
+chart_link = api_create(p, filename="geom_contour/filled-plot")
+chart_link
+```
+
+<iframe src="https://plot.ly/~RPlotBot/5830.embed" width="800" height="600" id="igraph" scrolling="no" seamless="seamless" frameBorder="0"> </iframe>
+