[R] Ggplot2 Line Problem

Stephen P. Molnar @@mo|n@r @end|ng |rom @bcg|ob@|@net
Mon Aug 17 13:42:19 CEST 2020


Many thanks. That solved the problem.

On 08/17/2020 01:49 AM, Rui Barradas wrote:
> 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
>>
>

-- 
Stephen P. Molnar, Ph.D.
www.molecular-modeling.net
614.312.7528 (c)
Skype:  smolnar1



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