Message-ID: <8ffe2875-d70a-9b4a-7ee7-343be936bd5a@sapo.pt>
Date: 2020-08-17T05:56:42Z
From: Rui Barradas
Subject: Ggplot2 Line Problem
In-Reply-To: <2779b4a7-bcdb-f578-9123-89c1a4d85c33@sapo.pt>
Hello,
Sorry, I forgot you also want the line type changed.
Remove color and linetype from the initial call to ggplot and include
aes(color = cases, linetype = cases) in geom_line. Then add a layer
scale_linetype_manual with the same name and labels to merge it with the
color legend.
dfO %>%
pivot_longer(
cols = -date,
names_to = "cases",
values_to = "count"
) %>%
mutate(cases = factor(cases, levels = c("positive", "negative",
"total"))) %>%
ggplot(aes(date, count)) +
#geom_point() +
geom_line(aes(color = cases, linetype = cases)) +
scale_color_manual(name = "Test",
labels = c("Positive", "Negative", "Total"),
values = c("red", "blue", "green")) +
scale_linetype_manual(name = "Test",
labels = c("Positive", "Negative", "Total"),
values = c("solid", "dotdash", "twodash")) +
ylim(0, 1750000) +
labs(x = "Date", y = "Number of Tests")+
ggtitle("COVID-19 Tests in Ohio \n (8/15/20)")+
theme_bw() +
theme(axis.text.x = element_text(angle = 30, hjust = 1),
plot.title = element_text(hjust = 0.5))
Hope this helps,
Rui Barradas
?s 06:49 de 17/08/20, Rui Barradas escreveu:
> Hello,
>
> This type of problem is almost always a data reshaping problem.
> ggplot graphics work better if the data is in the long format and you
> have 3 columns for counts, one column for each category. If you reformat
> from the current wide format to the long format you will have a date
> vector, a categorical variable and a counts variable.
>
> In the code below just change geom_point to geom_line and the problem is
> solved.
>
>
> library(tidyverse)
> library(lubridate)
>
> datO <- read.csv("https://api.covidtracking.com/v1/states/oh/daily.csv")
> datO[ ,1] <- ymd(datO[ ,1])
>
> dfO <- tibble::as_tibble(data.frame(date = datO[ ,"date"],
> ??????????????????????????????????? positive = datO[ ,"positive"],
> ??????????????????????????????????? negative = datO[ ,"negative"],
> ??????????????????????????????????? total = datO[ ,"total"]))
>
> dfO %>%
> ? pivot_longer(
> ??? cols = -date,
> ??? names_to = "cases",
> ??? values_to = "count"
> ? ) %>%
> ? mutate(cases = factor(cases, levels = c("positive", "negative",
> "total"))) %>%
> ? ggplot(aes(date, count, color = cases)) +
> ? geom_point() +
> ? scale_color_manual(name = "Test",
> ???????????????????? labels = c("Positive", "Negative", "Total"),
> ???????????????????? values = c("red", "blue", "green")) +
> ? ylim(0, 1750000) +
> ? labs(x = "Date", y = "Number of Tests")+
> ? ggtitle("COVID-19 Tests in Ohio \n (8/15/20)")+
> ? theme_bw() +
> ? theme(axis.text.x = element_text(angle = 30, hjust = 1),
> ??????? plot.title = element_text(hjust = 0.5))
>
>
>
> Hope this helps,
>
> Rui Barradas
>
>
> ?s 02:00 de 17/08/20, Stephen P. Molnar escreveu:
>> I have cobbled together a short script to plot Covid-19 data.
>>
>> setwd("~/Apps/Models/1-CoronaVirus")
>>
>> library(tidyverse)
>> library(lubridate)
>>
>> datO <- read.csv("https://api.covidtracking.com/v1/states/oh/daily.csv")
>> datO[ ,1] <- ymd(datO[ ,1])
>>
>> dfO <- tibble::as_tibble(data.frame(datO[ ,"date"],datO[
>> ,"positive"],datO[ ,"negative"],datO[ ,"total"]))
>>
>> dfO %>%
>> ?? ggplot(aes(x = datO[ ,"date"],y = datO[ ,"positive"]))+
>> ?? geom_point(color = 'red', size = 0.025)+
>> ?? geom_point(y = datO[ ,"negative"], color = 'blue', size = 0.025)+
>> ?? geom_point(y = datO[ ,"total"], color = "green", size = 0.025)+
>> ?? theme(axis.text.x = element_text(angle=30, hjust=1))+
>> ?? theme_bw()+
>> ?? scale_y_continuous(limits = c(0,1750000))+
>> ?? labs(x = "Date", y = "Number of Tests")+
>> ?? ggtitle("COVID-19 Tests in Ohio \n (8/15/20)")+
>> ?? theme(plot.title = element_text(hjust = 0.5))+
>> ?? scale_fill_discrete(name = "Test", labels = c("Positive",
>> "Negative", "Total"))
>>
>> Here is the plot:
>>
>>
>>
>>
>> but, if I want lines rather that the code (the aspplicable plines) uis:
>>
>> ggplot(aes(x = datO[ ,"date"],y = datO[ ,"positive"]))+
>> ?? geom_line(linetype = "solid",color = 'red')+
>> ?? geom_line(linetype = "dotdash",y = datO[ ,"negative"], color =
>> 'blue')+
>> ?? geom_line(linetype = "twodash",y = datO[ ,"total"], color = "green")+
>>
>>
>>
>>
>> Now two of the plots are reversed. Google has not been a friend in
>> finding a solution.
>>
>> Help will be much appreciated.
>>
>> Thanks in advance
>>
>
> ______________________________________________
> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.