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Joseph Damibanicolaskruchten
Joseph Damiba
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nicolaskruchten
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Revert "remove ggplot2 posts as they are being copied into r.docs repo"
This reverts commit 71e83cc.
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‎_posts/ggplot2/2011-11-29-scale-x.Rmd

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---
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name: scale_x_date
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permalink: ggplot2/scale-x/
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redirect_from: ggplot2/scale_x_date/
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description: How to make plots in R and ggplot2 using scale_x_date.
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layout: base
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thumbnail: thumbnail/time-series.jpg
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language: ggplot2
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page_type: example_index
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display_as: layout_opt
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output:
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html_document:
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keep_md: true
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---
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```{r, echo = FALSE, message=FALSE}
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knitr::opts_chunk$set(message = FALSE, warning=FALSE)
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Sys.setenv("plotly_username"="bdun9")
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Sys.setenv("plotly_api_key"="ukqr128tmk")
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```
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### New to Plotly?
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Plotly's R library is free and open source!<br>
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[Get started](https://plot.ly/r/getting-started/) by downloading the client and [reading the primer](https://plot.ly/r/getting-started/).<br>
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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>
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We also have a quick-reference [cheatsheet](https://images.plot.ly/plotly-documentation/images/r_cheat_sheet.pdf) (new!) to help you get started!
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### Version Check
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Version 4 of Plotly's R package is now [available](https://plot.ly/r/getting-started/#installation)!<br>
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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.
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```{r}
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library(plotly)
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packageVersion('plotly')
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```
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## By Month
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```{r, results='hide'}
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library(plotly)
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library(scales)
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x <- c("04-01-10","05-01-10","06-01-10","07-01-10","08-01-10","09-01-10","10-01-10","11-01-10","12-01-10","01-01-11","02-01-11","03-01-11","04-01-11","05-01-11","06-01-11","07-01-11","08-01-11","09-01-11","10-01-11","11-01-11","12-01-11","01-01-12","02-01-12","03-01-12","04-01-12","05-01-12","06-01-12")
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y <- c(120,210,130,160,190,210,80,70,110,120,140,160,130,200,110,180,210,200,90,60,100,100,120,170,100,180,120)
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MySample <- data.frame(x) ## convert to dataframe
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MySample$y <- y
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# install.packages("lubridate")
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require(lubridate)
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MySample$date <- as.Date(MySample$x, "%m-%d-%y")
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MySample$year <- year(MySample$date)
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p <- ggplot(MySample, aes(date, y, fill = year)) +
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geom_bar(stat="identity") +
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facet_grid(. ~ year, scales = "free") +
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scale_x_date(labels = date_format("%b/%y")) +
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scale_fill_gradient(breaks=unique(MySample$year))
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p <- ggplotly(p)
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# Create a shareable link to your chart
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# Set up API credentials: https://plot.ly/r/getting-started
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chart_link = api_create(p, filename="scalex/month")
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chart_link
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```
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``` {r, echo=FALSE}
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chart_link
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```
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Inspired by <a href="http://stackoverflow.com/questions/11472856/month-year-bar-graph-plot-faceted-and-filled-on-year-with-data-input-as-date-in?rq=1">Stack Overflow</a>.
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## By Year
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```{r, results='hide'}
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library(plotly)
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library(scales)
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set.seed(12345)
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Date <- seq(as.Date("2010/1/1"), as.Date("2014/1/1"), "week")
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Y <- rnorm(n=length(Date), mean=100, sd=1)
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df <- data.frame(Date, Y)
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df$Year <- format(df$Date, "%Y")
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df$Month <- format(df$Date, "%b")
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df$Day <- format(df$Date, "%d")
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df$MonthDay <- format(df$Date, "%d-%b")
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df$CommonDate <- as.Date(paste0("2000-",format(df$Date, "%j")), "%Y-%j")
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p <- ggplot(data = df,
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mapping = aes(x = CommonDate, y = Y, shape = Year, colour = Year)) +
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geom_point() +
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geom_line() +
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facet_grid(facets = Year ~ .) +
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scale_x_date(labels = function(x) format(x, "%d-%b"))
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p <- ggplotly(p)
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# Create a shareable link to your chart
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# Set up API credentials: https://plot.ly/r/getting-started
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chart_link = api_create(p, filename="scalex/year")
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chart_link
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```
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``` {r, echo=FALSE}
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chart_link
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```
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Inspired by <a href="http://stackoverflow.com/questions/11472856/month-year-bar-graph-plot-faceted-and-filled-on-year-with-data-input-as-date-in?rq=1">Stack Overflow</a>.
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‎_posts/ggplot2/2011-11-29-scale-x.md

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---
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name: scale_x_date
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permalink: ggplot2/scale-x/
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redirect_from: ggplot2/scale_x_date/
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description: How to make plots in R and ggplot2 using scale_x_date.
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layout: base
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thumbnail: thumbnail/time-series.jpg
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language: ggplot2
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page_type: example_index
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display_as: layout_opt
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output:
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html_document:
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keep_md: true
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---
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### New to Plotly?
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Plotly's R library is free and open source!<br>
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[Get started](https://plot.ly/r/getting-started/) by downloading the client and [reading the primer](https://plot.ly/r/getting-started/).<br>
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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>
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We also have a quick-reference [cheatsheet](https://images.plot.ly/plotly-documentation/images/r_cheat_sheet.pdf) (new!) to help you get started!
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### Version Check
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Version 4 of Plotly's R package is now [available](https://plot.ly/r/getting-started/#installation)!<br>
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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.
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```r
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library(plotly)
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packageVersion('plotly')
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```
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```
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## [1] '4.8.0'
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```
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## By Month
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```r
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library(plotly)
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library(scales)
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x <- c("04-01-10","05-01-10","06-01-10","07-01-10","08-01-10","09-01-10","10-01-10","11-01-10","12-01-10","01-01-11","02-01-11","03-01-11","04-01-11","05-01-11","06-01-11","07-01-11","08-01-11","09-01-11","10-01-11","11-01-11","12-01-11","01-01-12","02-01-12","03-01-12","04-01-12","05-01-12","06-01-12")
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y <- c(120,210,130,160,190,210,80,70,110,120,140,160,130,200,110,180,210,200,90,60,100,100,120,170,100,180,120)
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MySample <- data.frame(x) ## convert to dataframe
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MySample$y <- y
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# install.packages("lubridate")
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require(lubridate)
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MySample$date <- as.Date(MySample$x, "%m-%d-%y")
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MySample$year <- year(MySample$date)
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p <- ggplot(MySample, aes(date, y, fill = year)) +
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geom_bar(stat="identity") +
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facet_grid(. ~ year, scales = "free") +
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scale_x_date(labels = date_format("%b/%y")) +
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scale_fill_gradient(breaks=unique(MySample$year))
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p <- ggplotly(p)
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# Create a shareable link to your chart
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# Set up API credentials: https://plot.ly/r/getting-started
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chart_link = api_create(p, filename="scalex/month")
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chart_link
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```
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<iframe src="https://plot.ly/~bdun9/3363.embed" width="800" height="600" id="igraph" scrolling="no" seamless="seamless" frameBorder="0"> </iframe>
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Inspired by <a href="http://stackoverflow.com/questions/11472856/month-year-bar-graph-plot-faceted-and-filled-on-year-with-data-input-as-date-in?rq=1">Stack Overflow</a>.
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## By Year
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```r
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library(plotly)
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library(scales)
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set.seed(12345)
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Date <- seq(as.Date("2010/1/1"), as.Date("2014/1/1"), "week")
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Y <- rnorm(n=length(Date), mean=100, sd=1)
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df <- data.frame(Date, Y)
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df$Year <- format(df$Date, "%Y")
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df$Month <- format(df$Date, "%b")
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df$Day <- format(df$Date, "%d")
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df$MonthDay <- format(df$Date, "%d-%b")
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df$CommonDate <- as.Date(paste0("2000-",format(df$Date, "%j")), "%Y-%j")
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p <- ggplot(data = df,
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mapping = aes(x = CommonDate, y = Y, shape = Year, colour = Year)) +
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geom_point() +
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geom_line() +
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facet_grid(facets = Year ~ .) +
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scale_x_date(labels = function(x) format(x, "%d-%b"))
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p <- ggplotly(p)
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# Create a shareable link to your chart
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# Set up API credentials: https://plot.ly/r/getting-started
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chart_link = api_create(p, filename="scalex/year")
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chart_link
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```
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<iframe src="https://plot.ly/~bdun9/727.embed" width="800" height="600" id="igraph" scrolling="no" seamless="seamless" frameBorder="0"> </iframe>
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Inspired by <a href="http://stackoverflow.com/questions/11472856/month-year-bar-graph-plot-faceted-and-filled-on-year-with-data-input-as-date-in?rq=1">Stack Overflow</a>.
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‎_posts/ggplot2/2011-11-29-scale-y.Rmd

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---
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name: scale_y_continuous
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permalink: ggplot2/scale-y/
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redirect_from: ggplot2/scale_y_continuous/
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description: How to use logarithmic scales with ggplot2 axes.
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layout: base
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thumbnail: thumbnail/log.jpg
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language: ggplot2
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page_type: example_index
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display_as: layout_opt
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output:
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html_document:
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keep_md: true
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---
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```{r, echo = FALSE, message=FALSE}
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knitr::opts_chunk$set(message = FALSE, warning=FALSE)
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Sys.setenv("plotly_username"="RPlotBot")
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Sys.setenv("plotly_api_key"="q0lz6r5efr")
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```
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### New to Plotly?
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Plotly's R library is free and open source!<br>
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[Get started](https://plot.ly/r/getting-started/) by downloading the client and [reading the primer](https://plot.ly/r/getting-started/).<br>
26+
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>
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We also have a quick-reference [cheatsheet](https://images.plot.ly/plotly-documentation/images/r_cheat_sheet.pdf) (new!) to help you get started!
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### Version Check
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Version 4 of Plotly's R package is now [available](https://plot.ly/r/getting-started/#installation)!<br>
32+
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.
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```{r}
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library(plotly)
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packageVersion('plotly')
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```
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## Basic
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```{r, results='hide'}
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library(plotly)
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p <- ggplot(diamonds, aes(color, log10(price))) +
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geom_boxplot() +
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scale_y_continuous("Price, log10-scaling")
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p <- ggplotly(p)
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# Create a shareable link to your chart
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# Set up API credentials: https://plot.ly/r/getting-started
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chart_link = plotly_POST(p, filename="scaley/basic")
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chart_link
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```
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``` {r, echo=FALSE}
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chart_link
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```
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Inspired by <a href="http://stackoverflow.com/questions/4699493/transform-only-one-axis-to-log10-scale-with-ggplot2">Stack Overflow</a>.

‎_posts/ggplot2/2011-11-29-scale-y.md

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---
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name: scale_y_continuous
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permalink: ggplot2/scale-y/
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redirect_from: ggplot2/scale_y_continuous/
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description: How to use logarithmic scales with ggplot2 axes.
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layout: base
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thumbnail: thumbnail/log.jpg
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language: ggplot2
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page_type: example_index
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display_as: layout_opt
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output:
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html_document:
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keep_md: true
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---
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### New to Plotly?
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Plotly's R library is free and open source!<br>
21+
[Get started](https://plot.ly/r/getting-started/) by downloading the client and [reading the primer](https://plot.ly/r/getting-started/).<br>
22+
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>
23+
We also have a quick-reference [cheatsheet](https://images.plot.ly/plotly-documentation/images/r_cheat_sheet.pdf) (new!) to help you get started!
24+
25+
### Version Check
26+
27+
Version 4 of Plotly's R package is now [available](https://plot.ly/r/getting-started/#installation)!<br>
28+
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.
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```r
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library(plotly)
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packageVersion('plotly')
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```
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```
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## [1] '4.5.6.9000'
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```
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## Basic
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```r
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library(plotly)
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p <- ggplot(diamonds, aes(color, log10(price))) +
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geom_boxplot() +
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scale_y_continuous("Price, log10-scaling")
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p <- ggplotly(p)
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# Create a shareable link to your chart
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# Set up API credentials: https://plot.ly/r/getting-started
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chart_link = plotly_POST(p, filename="scaley/basic")
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chart_link
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```
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<iframe src="https://plot.ly/~RPlotBot/4198.embed" width="800" height="600" id="igraph" scrolling="no" seamless="seamless" frameBorder="0"> </iframe>
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Inspired by <a href="http://stackoverflow.com/questions/4699493/transform-only-one-axis-to-log10-scale-with-ggplot2">Stack Overflow</a>.

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