Plot impr
This commit is contained in:
		
							parent
							
								
									ebe8b7e028
								
							
						
					
					
						commit
						f146de0e30
					
				| @ -1,5 +1,9 @@ | ||||
| #!/usr/bin/env Rscript | ||||
| 
 | ||||
| # Parse job from command line | ||||
| args = commandArgs(trailingOnly = TRUE) | ||||
| file = args[1] | ||||
| 
 | ||||
| library(ggplot2) | ||||
| library(dplyr) | ||||
| require(scales) | ||||
| @ -12,10 +16,10 @@ plotjobs = TRUE | ||||
| # Color scheme | ||||
| plotcolors <- c("#CC0000", "#FFA500", "#FFFF00", "#008000", "#9999ff", "#000099") | ||||
| 
 | ||||
| # Parse job from command line | ||||
| args = commandArgs(trailingOnly = TRUE) | ||||
| file = "job_similarities_5024292.csv" # for manual execution | ||||
| file = args[1] | ||||
| if (! exists("file")){ | ||||
|   file = "job_similarities_5024292.csv" # for manual execution | ||||
| } | ||||
| print(file) | ||||
| jobID = str_extract(file, regex("[0-9]+")) | ||||
| 
 | ||||
| data = read.csv(file) | ||||
| @ -28,12 +32,12 @@ cat(nrow(data)) | ||||
| 
 | ||||
| # empirical cumulative density function (ECDF) | ||||
| data$sim = data$similarity*100 | ||||
| ggplot(data, aes(sim, color=alg_name, group=alg_name)) + stat_ecdf(geom = "step") + xlab("Similarity in %") + ylab("Fraction of jobs") + theme(legend.position=c(0.05, 0.5),  legend.title = element_blank()) + scale_color_brewer(palette = "Set2") + scale_x_log10() | ||||
| ggplot(data, aes(sim, color=alg_name, group=alg_name)) + stat_ecdf(geom = "step") + xlab("Similarity in %") + ylab("Fraction of jobs") + theme(legend.position=c(0.9, 0.5),  legend.title = element_blank()) + scale_color_brewer(palette = "Set2") # + scale_x_log10() + | ||||
| ggsave("ecdf.png", width=8, height=2.5) | ||||
| 
 | ||||
| # histogram for the jobs | ||||
| ggplot(data, aes(sim), group=alg_name) + geom_histogram(color="black", binwidth=2.5) + aes(fill = alg_name) + facet_grid(alg_name ~ ., switch = 'y') + xlab("Similarity in %") + scale_y_continuous(limits=c(0, 100), oob=squish)  +   scale_color_brewer(palette = "Set2") + ylab("Count (cropped at 100)") + theme(legend.position = "none") + stat_bin(binwidth=2.5, geom="text", adj=1.0, angle = 90, colour="black", size=3, aes(label=..count.., y=0*(..count..)+95)) | ||||
| ggsave("hist-sim.png", width=6, height=4.5) | ||||
| ggsave("hist-sim.png", width=6, height=5) | ||||
| 
 | ||||
| #ggplot(data, aes(similarity, color=alg_name, group=alg_name)) + stat_ecdf(geom = "step") + xlab("SIM") + ylab("Fraction of jobs") + theme(legend.position=c(0.9, 0.4))  + scale_color_brewer(palette = "Set2") + xlim(0.5, 1.0) | ||||
| #ggsave("ecdf-0.5.png", width=8, height=3) | ||||
| @ -56,7 +60,6 @@ plotJobs = function(algorithm, jobs){ | ||||
|         script = "./scripts/plot-job-timelines-ks.py" | ||||
|       }else{ | ||||
|         script = "./scripts/plot-job-timelines.py" | ||||
|         return(0) ### FIXME | ||||
|       } | ||||
|       prefix = do.call("sprintf", list("%s-%.4f-", level, r$similarity)) | ||||
|       call = sprintf("%s %s %s", script, paste(r$jobid, collapse=","), paste(prefix, collapse=",")) | ||||
|  | ||||
		Loading…
	
	
			
			x
			
			
		
	
		Reference in New Issue
	
	Block a user