| biosensor.eq | Internal function used to fit a biosensor response model with 'nlsLM' |
| export_RData | Export an R object as .RData file |
| export_Table | Export a tabular object as tab-separated .txt file |
| fl.control | Create a 'fl.control' object. |
| fl.drFit | Fit a biosensor model (Meyer et al., 2019) to response vs. concentration data |
| fl.drFitModel | Perform a biosensor model fit on response vs. concentration data of a single sample. |
| fl.report | Create a PDF and HTML report with results from a fluorescence analysis workflow |
| fl.workflow | Run a complete fluorescence curve analysis and dose-reponse analysis workflow. |
| flBootSpline | flBootSpline: Function to generate a bootstrap |
| flFit | Perform a fluorescence curve analysis on all samples in the provided dataset. |
| flFitLinear | Data fit via a heuristic linear method |
| flFitSpline | Perform a smooth spline fit on fluorescence data |
| growth.control | Create a 'grofit.control' object. |
| growth.drBootSpline | Perform a smooth spline fit on response vs. concentration data of a single sample |
| growth.drFit | Perform a dose-response analysis on response vs. concentration data |
| growth.drFitModel | Fit various models to response vs. concentration data of a single sample to determine the EC50. |
| growth.drFitSpline | Perform a smooth spline fit on response vs. concentration data of a single sample to determine the EC50. |
| growth.gcBootSpline | Perform a bootstrap on growth vs. time data followed by spline fits for each resample |
| growth.gcFit | Perform a growth curve analysis on all samples in the provided dataset. |
| growth.gcFitLinear | Fit an exponential growth model with a heuristic linear method |
| growth.gcFitModel | Fit nonlinear growth models to growth data |
| growth.gcFitSpline | Perform a smooth spline fit on growth data |
| growth.report | Create a PDF and HTML report with results from a growth curve analysis workflow |
| growth.workflow | Run a complete growth curve analysis and dose-reponse analysis workflow. |
| inflect | Find indices of maxima an minima in a data series |
| lm_parms | Helper functions for handling linear fits. |
| lm_window | Helper functions for handling linear fits. |
| low.integrate | Function to estimate the area under a curve given as x and y(x) values |
| parse_data | Parse raw plate reader data and convert it to a format compatible with QurvE |
| parse_Gen5Gen6 | Extract relevant data from a raw data export file generated with the "Gen5" or "Gen6" software. |
| parse_victornivo | Extract relevant data from a raw data export file generated from the software of Perkin Elmer's "Victor Nivo" plate readers. |
| parse_victorx3 | Extract relevant data from a raw data export file generated from the software of Perkin Elmer's "Victor X3" plate readers. |
| plot.drBootSpline | Generic plot function for 'gcBootSpline' objects. |
| plot.drFit | Generic plot function for 'drFit' objects. |
| plot.drFitfl | Generic plot function for 'drFitFL' objects. |
| plot.drFitFLModel | Generic plot function for 'drFitFLModel' objects. |
| plot.drFitModel | Generic plot function for 'drFitModel' objects. |
| plot.drFitSpline | Generic plot function for 'drFitSpline' objects. |
| plot.dr_parameter | Compare calculated dose-response parameters between conditions. |
| plot.dual | Compare fluorescence and growth over time |
| plot.flBootSpline | Generic plot function for 'flBootSpline' objects. |
| plot.flFit | Combine different groups of samples into a single plot |
| plot.flFitLinear | Generic plot function for 'flcFittedLinear' objects. Plot the results of a linear regression on ln-transformed data |
| plot.flFitRes | Combine different groups of samples into a single plot |
| plot.flFitSpline | Generic plot function for 'flFitSpline' objects. |
| plot.gcBootSpline | Generic plot function for 'gcBootSpline' objects. |
| plot.gcFitLinear | Generic plot function for 'gcFittedLinear' objects. Plot the results of a linear regression on ln-transformed data |
| plot.gcFitModel | Generic plot function for 'gcFitModel' objects. |
| plot.gcFitSpline | Generic plot function for 'gcFitSpline' objects. |
| plot.grid | Plot a matrix of growth curve panels |
| plot.grodata | Generic plot function for 'grodata' objects. Plots raw growth, fluorescence, or normalized fluorescence data of multiple samples or conditions. |
| plot.grofit | Generic plot function for 'grofit' objects. Combine different groups of samples into a single plot |
| plot.parameter | Compare growth parameters between samples or conditions |
| rdm.data | The function calls the 'baranyi' function to generate curves between time zero and 't' and adds some random noise to the x- and y-axes. The three growth parameters given as input values will be slightly changed to produce different growth curves. The resulting datasets can be used to test the 'growth.workflow' function. |
| read_data | Read growth and fluorescence data in table format |
| read_file | Call the appropriate function required to read a table file and return the table as a dataframe object. |
| run_app | Run Shiny QurvE App |
| summary.drBootSpline | Generic summary function for drBootSpline objects |
| summary.drFit | Generic summary function for drFit objects |
| summary.drFitfl | Generic summary function for drFitfl objects |
| summary.drFitFLModel | Generic summary function for drFitFLModel objects |
| summary.drFitModel | Generic summary function for drFitModel objects |
| summary.drFitSpline | Generic summary function for drFitSpline objects |
| summary.flBootSpline | Generic summary function for flBootSpline objects |
| summary.flFit | Generic summary function for flFit objects |
| summary.flFitLinear | Generic summary function for flFitLinear objects |
| summary.flFitSpline | Generic summary function for flFitSpline objects |
| summary.gcBootSpline | Generic summary function for gcBootSpline objects |
| summary.gcFit | Generic summary function for gcFit objects |
| summary.gcFitLinear | Generic summary function for gcFitLinear objects |
| summary.gcFitModel | Generic summary function for gcFitModel objects |
| summary.gcFitSpline | Generic summary function for gcFitSpline objects |
| table_group_fluorescence_linear | Generate a grouped results table for linear fits with average and standard deviations |
| table_group_fluorescence_spline | Generate a grouped results table for spline fits with average and standard deviations |
| table_group_growth_linear | Generate a grouped results table for linear fits with average and standard deviations |
| table_group_growth_model | Generate a grouped results table for parametric fits with average and standard deviations |
| table_group_growth_spline | Generate a grouped results table for spline fits with average and standard deviations |
| zipFastener | Combine two dataframes like a zip-fastener |