Many different plotting routines to display different loadtest information.
slt_time_boxplot(df, labels = NULL)
slt_time_concurrency(df, labels = NULL)
slt_waterfall(df, limits = NULL)
slt_hist_loadtimes(df, max_load_time = 5)
slt_user(df)
slt_session(df)
slt_session_duration(df, cutoff = NULL)
slt_session_latency(df)
slt_http_latency(df, cutoff = 5)
slt_websocket_latency(df, cutoff = 5)
data frame returned from load_runs
A vector of labels to include. If none are supplied, all labels will be used.
passed into scale_colour_gradientn
The amount of time users will wait for the page to load when first requesting the app.
Where to draw a horizontal or vertical line to display a reasonable cutoff line for requests.
A ggplot
plot object
slt_time_boxplot
: Box plot of load times for each event in each run
slt_time_concurrency
: Time on concurrency for each event for each run
slt_waterfall
: Event waterfall for each session within each run
slt_hist_loadtimes
: Histogram of page load times
slt_user
: Gantt chart of event duration for each user within each run
slt_session
: Event gantt chart of each user session within each run
slt_session_duration
: Event gantt chart of fastest to slowest session times within each run
slt_session_latency
: Stacked bar chart of event duration for each session within each run
slt_http_latency
: Bar chart of total HTTP latency for each session within each run
slt_websocket_latency
: Bar chart of maximum calculation (websocket) latency for each session within each run
slt_user(slt_demo_data_4)
slt_session(slt_demo_data_4)
slt_session_duration(slt_demo_data_4)
slt_waterfall(slt_demo_data_4)
slt_time_boxplot(slt_demo_data_4)
slt_time_concurrency(slt_demo_data_4)
slt_session_latency(slt_demo_data_4)
slt_http_latency(slt_demo_data_4)
slt_websocket_latency(slt_demo_data_4)
slt_hist_loadtimes(slt_demo_data_4)
#> `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.