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Plotted data represent mean±standard deviation (s.d).
In addition, to present the data visually, we also plotted the median plasma HIV RNA concentrations and the incidence density every six months for each year of the study and presented the uncertainty around these estimates by calculating 95% confidence intervals.
The absorption rate constant (ka) was obtained by fitting a mono-exponential function to the percent remaining to be absorbed vs. time data visually assessed to lie on the linear portion of the semi-logarithmic plots.
Finally, test-retest data were plotted and visually inspected in the form of Bland-Altman graphs (the individual differences between t1 and t2 were plotted against the individual mean of t1 and t2) [ 40].
Each relationship was visually inspected by plotting the data.
The authors should check if plotting the data in log format makes a visually better picture (it is often so with evolutionary distances).
To visually present the mutual influence among attributes, an influential network relations map is created by plotting the data set of (left( {r_{i} + s_{i}, r_{i} - s_{i} } right)).
In our view, the most efficient way of doing so if only few categories are compared, is visually, by plotting the raw data along with the means and credible intervals coming from the model, instead of providing tables with numbers.
After visually inspecting the acquired data, we manually selected the relevant time periods for analysis and used Origin 8.0 to plot the data.
Residual plots were visually inspected and data were transformed when necessary to meet the assumptions of statistical tests [45].
Data were visually represented as Bland-Altman MA scale plots where M = log2 R-log2 S and A = 0.5* log2 R + log2 S), R and S being average coverage depth for each contig in the resistant and susceptible line pools respectively.
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