title: "Using blindspiker"output: rmarkdown::html_vignettevignette: >%\VignetteIndexEntry | Sample test data | Test data must haves: | Test data optional extras: | Laboratory results data | Laboratory results must haves: | Laboratory results optional extras: | Details

AeroSampleR Introduction | example data | 1) Get the system data | 2) Create particle distribution with particle_dist() | 3) Set up the parameters for tube size, flow rate, temperature, and pressure. These parameters are not particle dependent and so can be kept in a small separate data frame. | 4) Next, we compute the efficiency, element by element in transport order. We have only four elements in this example and we will evaluate them with prob_eff(), tube_eff(), bend_eff(), and lastly tube_eff() again. This will add columns to our particle data frame. | At this point, the transport efficiencies have been built into the data frame. Let's have a look at the bottom few rows. | 5) Generate reports with report_basic, report_plots and report_cum_plots | 6) Optional extra reports for the logarithmically distributed particle set

Decay Correction Functions | radionuclides | rad measurements functions | Some stand-alone functions | Stay-time computation | half-value and tenth value computation | mcnp tools functions