I like the line graph better. However, the colored bar plot has more a of shock value and may make the point more quickly if you are not trying to show details. So if I were giving a poster presentation I use the bar plot to draw people in and then use the line plot to explain in more detail.
Excellent! I like the way how it dose. Although i prefer the line plot, this video i have learned so much stuff! But generally i have a question with the geom_text to annotate the text into the figure. The text font what was annotated is different from axis-label, for example. I hope you know what i am talking. Because every time, when i want to annotate some text into plot, i always annotate outside of R (e.g. AI), which i don't like it. If you could help me with this, that would be great. Tons thanks!
Cool, thanks! you might check out this episode to see how you can customize fonts. Maybe it will help to make things look more uniform riffomonas.org/code_club/2021-08-26-fonts
Thanks for watching - I'm not sure what you mean by "bars with scales" or adding scales to the x and y-axis. I turned the x and y-axes off on this visual to make it look more attractive. This was largely done in the theme function
I'm giving up because even tho I follow the tutorial really close, with the same dataset, (csv), and I type everything exactly the same, I get errors or a different outcome :/
@@Riffomonas Thank you so much, Pat. After trying a few times, I got it done! Can't thank you enough for providing us all these tutorials, you're a master. Greetings from Buenos Aires, Argentina
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Third video in the play list, replicating the code and applying it to the plots needed in my masters. thanks prof
Wonderful!🤓
Really enjoy these tutorials, trying to replicate a plot. Thanks!
Thank Victor! 🤓
Thanks Pat. This was a big help in a pinch.
Fantastic! It’s great to hear people getting something out of these more artsy figures
Thanks for sharing this knowledge it's very important.
My pleasure! Thanks for watching 🤓
I realy like these tutorials 😊
Thanks, I think I will set aside some time each week for this
Wonderful! Thanks for watching 🤓
I like the line graph better. However, the colored bar plot has more a of shock value and may make the point more quickly if you are not trying to show details. So if I were giving a poster presentation I use the bar plot to draw people in and then use the line plot to explain in more detail.
Nice strategy! 🤓
Excellent! I like the way how it dose. Although i prefer the line plot, this video i have learned so much stuff!
But generally i have a question with the geom_text to annotate the text into the figure. The text font what was annotated is different from axis-label, for example. I hope you know what i am talking. Because every time, when i want to annotate some text into plot, i always annotate outside of R (e.g. AI), which i don't like it. If you could help me with this, that would be great. Tons thanks!
Cool, thanks! you might check out this episode to see how you can customize fonts. Maybe it will help to make things look more uniform riffomonas.org/code_club/2021-08-26-fonts
@@Riffomonas Well noted. Thanks a lot!
How do you plot a standardised precipitation index in R studio?
Again, i also saw there is bars with scales on website. That would you great if you could show how to add scales to x-axis and y-axis. Thanks a lot!
Thanks for watching - I'm not sure what you mean by "bars with scales" or adding scales to the x and y-axis. I turned the x and y-axes off on this visual to make it look more attractive. This was largely done in the theme function
@@yaqinguo8971 Sorry, but I'm not likely going to go back to this series of videos. You can add those axis scales with the theme function
@@Riffomonas Sure. Thanks a lot for your response. I will try to figure it out.
@@Riffomonas I managed it with library(ggh4x). Super excited.
I'm giving up because even tho I follow the tutorial really close, with the same dataset, (csv), and I type everything exactly the same, I get errors or a different outcome :/
Sorry! If there's a point at which things go off the rails for you let me know and I can see what can be done to help out
@@Riffomonas Thank you so much, Pat. After trying a few times, I got it done! Can't thank you enough for providing us all these tutorials, you're a master. Greetings from Buenos Aires, Argentina
@@22bears wonderful!
thank's I was thinking the other day doing the same stuff for the water index using the amazon dataset
Awesome - thanks for watching!🤓
Prof Schloss, I am getting this error < Error in rescale(c(min(t_data$t_diff), 0, max(t_data$t_diff))) :
could not find function "rescale" > in that code I replicated:
Here is the code:
t__barplot % ggplot(aes(x = year, y = t_diff, fill= t_diff)) +
geom_col() +
geom_text(data = annotation, aes(x = x, label = year), color = "white") +
# scale_fill_gradient2(low = "darkblue",
# mid = "white",
# high = "darkred",
# midpoint = 0,
# limits = c(-0.5, 1.5)) +
scale_fill_gradientn(colors = c("darkblue", "white", "darkred"),
values = rescale(c(min(t_data$t_diff), 0, max(t_data$t_diff))),
limits = c(min(t_data$t_diff),max(t_data$t_diff))) +
theme_void() +
theme(
plot.background = element_rect(fill = "black"),
legend.text = element_text(color = "white")
)
Any thoughts, please?
Make sure you ran “library(scales)”
I need the scale