Raster-like timeseries graph in ggplot2












4















I'm trying to recreate a graph like the one here using ggplot2.



enter image description here



I can get pretty close if I mess around with the size and shape of points using coord_equal, but...



Example data and code

library(ggplot2)
df <- data.frame()
Years <- 1990:2020
for(i in 1:length(Years)) {
Year <- Years[i]
week <-1:52
value <- sort(round(rnorm(52, 50, 30), 0))
df.small <- data.frame(Year = Year, week = week, value = value)
df <- bind_rows(df, df.small)
}


ggplot(df, aes(week, Year, color = value)) +
geom_point(shape = 15, size = 2.7) +
scale_color_gradientn(colours = rainbow(10)) +
coord_equal()


enter image description here



The problem is,



with my real data I want to "stretch" the graph so I can see it more clearly (my timeseries is shorter) and when I don't use coord_equal, squares don't fill the graphing area:



ggplot(df, aes(week, Year, color = value)) +
geom_point(shape = 15, size = 2.7) +
scale_color_gradientn(colours = rainbow(10))


enter image description here










share|improve this question




















  • 2





    Side note: please scrap rainbow colour scales: nature.com/articles/519291d

    – Tung
    Nov 19 '18 at 18:27






  • 2





    You can find better colormaps than rainbow in this thread stackoverflow.com/q/37482977/786542

    – Tung
    Nov 19 '18 at 18:28






  • 1





    This is amazing. I use colorblind-friendly colors in all my publications... why would I do anything less on SO? Thanks for the reminder, Tung :)

    – Nova
    Nov 19 '18 at 21:16











  • that's great to hear. The world needs more thoughtful scientists like you :)

    – Tung
    Nov 19 '18 at 22:33
















4















I'm trying to recreate a graph like the one here using ggplot2.



enter image description here



I can get pretty close if I mess around with the size and shape of points using coord_equal, but...



Example data and code

library(ggplot2)
df <- data.frame()
Years <- 1990:2020
for(i in 1:length(Years)) {
Year <- Years[i]
week <-1:52
value <- sort(round(rnorm(52, 50, 30), 0))
df.small <- data.frame(Year = Year, week = week, value = value)
df <- bind_rows(df, df.small)
}


ggplot(df, aes(week, Year, color = value)) +
geom_point(shape = 15, size = 2.7) +
scale_color_gradientn(colours = rainbow(10)) +
coord_equal()


enter image description here



The problem is,



with my real data I want to "stretch" the graph so I can see it more clearly (my timeseries is shorter) and when I don't use coord_equal, squares don't fill the graphing area:



ggplot(df, aes(week, Year, color = value)) +
geom_point(shape = 15, size = 2.7) +
scale_color_gradientn(colours = rainbow(10))


enter image description here










share|improve this question




















  • 2





    Side note: please scrap rainbow colour scales: nature.com/articles/519291d

    – Tung
    Nov 19 '18 at 18:27






  • 2





    You can find better colormaps than rainbow in this thread stackoverflow.com/q/37482977/786542

    – Tung
    Nov 19 '18 at 18:28






  • 1





    This is amazing. I use colorblind-friendly colors in all my publications... why would I do anything less on SO? Thanks for the reminder, Tung :)

    – Nova
    Nov 19 '18 at 21:16











  • that's great to hear. The world needs more thoughtful scientists like you :)

    – Tung
    Nov 19 '18 at 22:33














4












4








4








I'm trying to recreate a graph like the one here using ggplot2.



enter image description here



I can get pretty close if I mess around with the size and shape of points using coord_equal, but...



Example data and code

library(ggplot2)
df <- data.frame()
Years <- 1990:2020
for(i in 1:length(Years)) {
Year <- Years[i]
week <-1:52
value <- sort(round(rnorm(52, 50, 30), 0))
df.small <- data.frame(Year = Year, week = week, value = value)
df <- bind_rows(df, df.small)
}


ggplot(df, aes(week, Year, color = value)) +
geom_point(shape = 15, size = 2.7) +
scale_color_gradientn(colours = rainbow(10)) +
coord_equal()


enter image description here



The problem is,



with my real data I want to "stretch" the graph so I can see it more clearly (my timeseries is shorter) and when I don't use coord_equal, squares don't fill the graphing area:



ggplot(df, aes(week, Year, color = value)) +
geom_point(shape = 15, size = 2.7) +
scale_color_gradientn(colours = rainbow(10))


enter image description here










share|improve this question
















I'm trying to recreate a graph like the one here using ggplot2.



enter image description here



I can get pretty close if I mess around with the size and shape of points using coord_equal, but...



Example data and code

library(ggplot2)
df <- data.frame()
Years <- 1990:2020
for(i in 1:length(Years)) {
Year <- Years[i]
week <-1:52
value <- sort(round(rnorm(52, 50, 30), 0))
df.small <- data.frame(Year = Year, week = week, value = value)
df <- bind_rows(df, df.small)
}


ggplot(df, aes(week, Year, color = value)) +
geom_point(shape = 15, size = 2.7) +
scale_color_gradientn(colours = rainbow(10)) +
coord_equal()


enter image description here



The problem is,



with my real data I want to "stretch" the graph so I can see it more clearly (my timeseries is shorter) and when I don't use coord_equal, squares don't fill the graphing area:



ggplot(df, aes(week, Year, color = value)) +
geom_point(shape = 15, size = 2.7) +
scale_color_gradientn(colours = rainbow(10))


enter image description here







r ggplot2 time-series raster






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited Nov 19 '18 at 18:21







Nova

















asked Nov 19 '18 at 18:11









NovaNova

1,3491229




1,3491229








  • 2





    Side note: please scrap rainbow colour scales: nature.com/articles/519291d

    – Tung
    Nov 19 '18 at 18:27






  • 2





    You can find better colormaps than rainbow in this thread stackoverflow.com/q/37482977/786542

    – Tung
    Nov 19 '18 at 18:28






  • 1





    This is amazing. I use colorblind-friendly colors in all my publications... why would I do anything less on SO? Thanks for the reminder, Tung :)

    – Nova
    Nov 19 '18 at 21:16











  • that's great to hear. The world needs more thoughtful scientists like you :)

    – Tung
    Nov 19 '18 at 22:33














  • 2





    Side note: please scrap rainbow colour scales: nature.com/articles/519291d

    – Tung
    Nov 19 '18 at 18:27






  • 2





    You can find better colormaps than rainbow in this thread stackoverflow.com/q/37482977/786542

    – Tung
    Nov 19 '18 at 18:28






  • 1





    This is amazing. I use colorblind-friendly colors in all my publications... why would I do anything less on SO? Thanks for the reminder, Tung :)

    – Nova
    Nov 19 '18 at 21:16











  • that's great to hear. The world needs more thoughtful scientists like you :)

    – Tung
    Nov 19 '18 at 22:33








2




2





Side note: please scrap rainbow colour scales: nature.com/articles/519291d

– Tung
Nov 19 '18 at 18:27





Side note: please scrap rainbow colour scales: nature.com/articles/519291d

– Tung
Nov 19 '18 at 18:27




2




2





You can find better colormaps than rainbow in this thread stackoverflow.com/q/37482977/786542

– Tung
Nov 19 '18 at 18:28





You can find better colormaps than rainbow in this thread stackoverflow.com/q/37482977/786542

– Tung
Nov 19 '18 at 18:28




1




1





This is amazing. I use colorblind-friendly colors in all my publications... why would I do anything less on SO? Thanks for the reminder, Tung :)

– Nova
Nov 19 '18 at 21:16





This is amazing. I use colorblind-friendly colors in all my publications... why would I do anything less on SO? Thanks for the reminder, Tung :)

– Nova
Nov 19 '18 at 21:16













that's great to hear. The world needs more thoughtful scientists like you :)

– Tung
Nov 19 '18 at 22:33





that's great to hear. The world needs more thoughtful scientists like you :)

– Tung
Nov 19 '18 at 22:33












1 Answer
1






active

oldest

votes


















3














Is this as simple as using the geom_raster geom?



ggplot(df, aes(week, Year)) +
geom_raster(aes(fill = value)) +
scale_fill_gradientn(colours = rainbow(10)) +
coord_equal()


enter image description here






share|improve this answer
























  • Yes! I just didn't know you could use geom_raster without spatial info. This is a real "face-palm" moment, but I really appreciate the help!!

    – Nova
    Nov 19 '18 at 21:15











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1 Answer
1






active

oldest

votes








1 Answer
1






active

oldest

votes









active

oldest

votes






active

oldest

votes









3














Is this as simple as using the geom_raster geom?



ggplot(df, aes(week, Year)) +
geom_raster(aes(fill = value)) +
scale_fill_gradientn(colours = rainbow(10)) +
coord_equal()


enter image description here






share|improve this answer
























  • Yes! I just didn't know you could use geom_raster without spatial info. This is a real "face-palm" moment, but I really appreciate the help!!

    – Nova
    Nov 19 '18 at 21:15
















3














Is this as simple as using the geom_raster geom?



ggplot(df, aes(week, Year)) +
geom_raster(aes(fill = value)) +
scale_fill_gradientn(colours = rainbow(10)) +
coord_equal()


enter image description here






share|improve this answer
























  • Yes! I just didn't know you could use geom_raster without spatial info. This is a real "face-palm" moment, but I really appreciate the help!!

    – Nova
    Nov 19 '18 at 21:15














3












3








3







Is this as simple as using the geom_raster geom?



ggplot(df, aes(week, Year)) +
geom_raster(aes(fill = value)) +
scale_fill_gradientn(colours = rainbow(10)) +
coord_equal()


enter image description here






share|improve this answer













Is this as simple as using the geom_raster geom?



ggplot(df, aes(week, Year)) +
geom_raster(aes(fill = value)) +
scale_fill_gradientn(colours = rainbow(10)) +
coord_equal()


enter image description here







share|improve this answer












share|improve this answer



share|improve this answer










answered Nov 19 '18 at 18:23









Rui BarradasRui Barradas

16.6k51730




16.6k51730













  • Yes! I just didn't know you could use geom_raster without spatial info. This is a real "face-palm" moment, but I really appreciate the help!!

    – Nova
    Nov 19 '18 at 21:15



















  • Yes! I just didn't know you could use geom_raster without spatial info. This is a real "face-palm" moment, but I really appreciate the help!!

    – Nova
    Nov 19 '18 at 21:15

















Yes! I just didn't know you could use geom_raster without spatial info. This is a real "face-palm" moment, but I really appreciate the help!!

– Nova
Nov 19 '18 at 21:15





Yes! I just didn't know you could use geom_raster without spatial info. This is a real "face-palm" moment, but I really appreciate the help!!

– Nova
Nov 19 '18 at 21:15


















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