[R Graphics] Beautiful graphics thread
- Thread starter TheEcologist
- Start date
- Tags graphics
Now you're posting the same sh/it twice. Maybe you are in the Mafia, but you do too much crank and think helicopters are following you like Ray Liotta or something.
Don't forget to pick up the blow and ask the Pittsburgh guys if they will buy the guns that Jimmy stiffed you on.
-and make sure little bro keeps stirring the gravy
Don't forget to pick up the blow and ask the Pittsburgh guys if they will buy the guns that Jimmy stiffed you on.
-and make sure little bro keeps stirring the gravy
Code for that plot in that post is here:
http://www.talkstats.com/showthread...ay.-Have-you-helped-a-novice-today?highlight=
http://www.talkstats.com/showthread...ay.-Have-you-helped-a-novice-today?highlight=
So was my comment. I was joking. I didn't mean "sh/it" as any indication that your post was of poor quality, I meant it as a way of referring to something, like "jawn." Sometimes my Philly/Wilmington way of writing comes off as if I'm trying to be rude or offensive; it's just how I talk. I thought it was clear I was kidding when I made the Goodfellas reference, but the number one rule of comedy is that if you have to explain your joke, it wasn't very funny.
The last graphic I'll post for a while. First I made a time plot of the mean annual measurements of the level, in feet, of Lake Huron from 1875 through 1972, using the "LakeHuron" data set. Then I noticed that the mean wasn't stable over time, and that the mean appeared to have an approximately linear trend over time, so I used first differences to remove the trend. I added a smoothing curve and reference mean for each plot.
Nothing amazing, especially considering Trinker can make lines go at each other like you're playing Atari, but I figured I'd share regardless.
Nothing amazing, especially considering Trinker can make lines go at each other like you're playing Atari, but I figured I'd share regardless.
Code:
#First plot
plot(LakeHuron, ylab = "Mean Measurement in Feet")
abline(h = mean(LakeHuron))
lines(lowess(LakeHuron))
#Second plot featuring first differences to normalize the mean
diff(LakeHuron)
d <- diff(LakeHuron)
plot(d, ylab = "First differences of Mean Measurement in Feet")
abline(h = 0, lty = 3)
lines(lowess(d))
@DV_Man. Is this a reproducible example?
You would have contributed more to this site if you had included your data. Then someone else could have reproduced what you had done and maybe given another suggestion for how to analyze the data. Maybe a time series analysis?
@DV_Man. Is this a beautiful graphics?
To me it looks like a usual line chart. Could you not at least have put some colour on the lines? And a legend explaining the curves?
You would have contributed more to this site if you had included your data. Then someone else could have reproduced what you had done and maybe given another suggestion for how to analyze the data. Maybe a time series analysis?
@DV_Man. Is this a beautiful graphics?
To me it looks like a usual line chart. Could you not at least have put some colour on the lines? And a legend explaining the curves?
Well perhaps we could resolved you all's possible differences in what you considered "Beautiful", by also having you both provide a personal definition of what you consider "Juicy"!
Perhaps, there just needs to be a Juicy and a Beautiful thread. Maybe these constructs are discernible and not always overlapping. Superficially, one could see how lake data could be tend toward the "Juicy" side!
Perhaps, there just needs to be a Juicy and a Beautiful thread. Maybe these constructs are discernible and not always overlapping. Superficially, one could see how lake data could be tend toward the "Juicy" side!