(df_mean, x=df_mean.index, y="NPN1", error_y=h) fig.update_layout(layout, title_text='Mean NPN1 by site with 95% confidence intervals', width=600, height=400) fig.update_traces(marker_color='black') fig.update_xaxes(type='category') py.plot(fig, filename='jmp-confidence ...
45-confidence-interval-around-polynomial-curve-fitting_files 48-grouped-barplot-with-ggplot2_files 5-correlation-of-discrete-variables_files 50-51-52-scatter-plot-with-ggplot2_files 59-nifty-graph_files 6-graph-parameters-reminder_files 70-boxplot-with-categories-on-multiple-li...
Sets the gap (in plot fraction) between bars of the same location coordinate. barmode Determines how bars at the same location coordinate are displayed on the graph. With “stack”, the bars are stacked on top of one another With “relative”, the bars are stacked on top of one another...
This part of the book teaches you how to leverage theplotlyR package to create a variety of interactive graphics. There are two main ways to creating aplotlyobject: either by transforming aggplot2object (viaggplotly()) into aplotlyobject or by directly initializing aplotlyobject withplot_ly()...
Plotly allows the user to select certain lines, scroll into the plot and move a round. With few lines of code it is possible to create a line chart which can be grouped and colored per group: plotly() %>% add_trace( data = simple_data, x = ~as.numeric(running_day), y = ~as....