36 lines
1.3 KiB
R
36 lines
1.3 KiB
R
# Libraries
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library(ggplot2)
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library(matrixStats)
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library(MASS)
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library(reshape2)
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library(reshape)
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# file.choose()
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convergence <- read.csv(file.choose(), header=FALSE, row.names=1, skip=1)
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sds <- rowSds(sapply(convergence[,-1], `length<-`, max(lengths(convergence[,-1]))), na.rm=TRUE)
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men <- rowMeans(sapply(convergence[,-1], `length<-`, max(lengths(convergence[,-1]))), na.rm=TRUE)
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print(sds)
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# create dummy data
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data <- data.frame(
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names=rownames(convergence),
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means=men,
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sds=sds
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)
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print(length(men))
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convergence$group <- row.names(convergence)
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convergence.m <- melt(convergence, id.vars = "group")
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ggplot(data, aes(x=men, y=sds)) +
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geom_boxplot()
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ggplot(data) +
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geom_bar(aes(x=names, y=means, fill=means), stat="identity", color="black", alpha=0.8) +
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geom_errorbar( aes(x=names, ymin=means, ymax=means+sds), width=0.4, colour="black", alpha=0.8, size=0.6) +
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#geom_text(aes(label=as.integer(means), x =names, y=means), position=position_dodge(width=0.9), vjust=-0.25) +
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xlab("Epsilon") + ylab("avg. amount of episodes until convergence")
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#ba <- barplot(names=rownames(convergence), height=men, ylim=c(0, max(men)*1.2), ylab = "avg. episodes until convergence", xlab = "epsilon value")
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#text(x = ba, y = men, label = as.integer(men), pos = 3, cex = 0.8, col = "red")
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