@@ -69,7 +69,7 @@ latency_plot <- ggplot(b$latencies, aes(x = elapsed)) +
6969 labs(x = " Elapsed Secs" , y = " Latency (ms)" )
7070
7171# Plot median, mean and 95th percentiles
72- plot2 <- latency_plot + opts (title = " Mean, Median, and 95th Percentile Latency" ) +
72+ plot2 <- latency_plot + labs (title = " Mean, Median, and 95th Percentile Latency" ) +
7373 geom_smooth(aes(y = median , color = " median" ), size = 0.5 ) +
7474 geom_point(aes(y = median , color = " median" ), size = 2.0 ) +
7575
@@ -85,7 +85,7 @@ plot2 <- latency_plot + opts(title = "Mean, Median, and 95th Percentile Latency"
8585 # labels = c("95th", "Mean", "Median"))
8686
8787# Plot 99th percentile
88- plot3 <- latency_plot + opts (title = " 99th Percentile Latency" ) +
88+ plot3 <- latency_plot + labs (title = " 99th Percentile Latency" ) +
8989 geom_smooth(aes(y = X99th , color = " 99th" ), size = 0.5 ) +
9090 geom_point(aes(y = X99th , color = " 99th" ), size = 2.0 ) +
9191 scale_colour_manual(" Percentile" , values = c(" #FF665F" , " #009D91" ))
@@ -94,13 +94,13 @@ plot3 <- latency_plot + opts(title = "99th Percentile Latency") +
9494 # labels = c("99.9th", "99th"))
9595
9696# Plot 99.9th percentile
97- plot4 <- latency_plot + opts (title = " 99.9th Percentile Latency" ) +
97+ plot4 <- latency_plot + labs (title = " 99.9th Percentile Latency" ) +
9898 geom_smooth(aes(y = X99_9th , color = " 99.9th" ), size = 0.5 ) +
9999 geom_point(aes(y = X99_9th , color = " 99.9th" ), size = 2.0 ) +
100100 scale_colour_manual(" Percentile" , values = c(" #FF665F" , " #009D91" , " #FFA700" ))
101101
102102# Plot 100th percentile
103- plot5 <- latency_plot + opts (title = " Maximum Latency" ) +
103+ plot5 <- latency_plot + labs (title = " Maximum Latency" ) +
104104 geom_smooth(aes(y = max , color = " max" ), size = 0.5 ) +
105105 geom_point(aes(y = max , color = " max" ), size = 2.0 ) +
106106 scale_colour_manual(" Percentile" , values = c(" #FF665F" , " #009D91" , " #FFA700" ))
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