library(zFactor) smx <- stats_of_z.stats(stat = "MAPE") smx
sdf <- as.data.frame(smx) row_names <- rownames(sdf) sdf <- cbind(row_names, sdf) rownames(sdf) <- NULL sdf$row_names <- as.character(sdf$row_names) names(sdf)[1] <- "stat" sdf
tidy_stats <- tidyr::gather(sdf, "corr", "stats", 2:ncol(sdf)) tidy_stats
ggplot(tidy_stats, aes(x = corr, y = stats)) + geom_boxplot() + scale_y_log10()
ggplot(tidy_stats, aes(x = corr, y = stats, color = corr)) + geom_point() + facet_grid(. ~ stat, scales = "free_y")
ggplot(subset(tidy_stats, stat =="Mode"), aes(x = corr, y = stats)) + geom_point()
g <- ggplot(tidy_stats, aes(x=stats, y=stats, group=corr, color=corr)) g + geom_
t <- ggplot(tidy_stats, aes(x=stats, y=stats, color=corr)) + geom_point() + facet_grid(.~ stat, scales = "free_y") print(t)
# convert to dataframe mat <- cbind(rownames(smx), smx) rownames(mat) <- NULL df <- as.data.frame(mat) df <- as.double(df[,2:])
as.double(df[, 2:ncol(df)])
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