After looking at "ggplot2" the book, this site, the documentation, cookbook-r and R-Studio cheat sheet and endeavoring to get ggplot2 data structure information specific to faceting, there still seems to be a discontinuity. Running in Win10 with R3.3.1 and ggplot2 2.1.0
The data in question needs to be plotted for the latter three columns as Y and dim once as X suggesting facet_wrap.
>elbow
dim rss pdrss dpdrss
1 2 1011.5940 NA NA
2 3 716.0400 41.276192 NA
3 4 588.8822 21.593068 19.6831234
4 5 517.5983 13.772050 7.8210182
5 6 463.7904 11.601785 2.1702656
6 7 422.5073 9.770970 1.8308150
7 8 391.2289 7.994904 1.7760653
8 9 360.3259 8.576408 -0.5815033
9 10 335.5152 7.394817 1.1815904
10 11 315.8829 6.215040 1.1797778
11 12 296.1883 6.649362 -0.4343228
12 13 278.5907 6.316657 0.3327057
> str(elbow)
'data.frame': 12 obs. of 4 variables:
$ dim : int 2 3 4 5 6 7 8 9 10 11 ...
$ rss : num 1012 716 589 518 464 ...
$ pdrss : num NA 41.3 21.6 13.8 11.6 ...
$ dpdrss: num NA NA 19.68 7.82 2.17 ...
plots nicely with
> abreak = c(1,3,5,7,9,11,13)
> alabel = c("1","3","5","7","9","11","13")
> ggplot(elbow, aes(dim,rss))+geom_point()
+scale_x_continuous(breaks=abreak,labels=alabel)
but fails with
> ggplot(elbow, aes(dim, value)) +
geom_point() +
facet_wrap(~variable, scales = "free_y", ncol = 1)
it works with
> ggplot(economics_long, aes(date, value)) + geom_line() +
facet_wrap(~variable, scales = "free_y", ncol = 1)
The nature of str(economics_long) is quite different with the significance of the elements not clearly related to the plot. The data needs to talk but what say?
How may I learn how the economics_long data and the like for other plots structure produced, or parhaps how the information plotting needs can be provided in the call.