Package index • qp

All in one function

qp(): Quantify protein concentration from a MicroBCA assay

Individual functions

Functions used in qp that can be called individually

qp_tidy(): Read in and wrangle protein quantification data

qp_add_std_conc(): Add known concentrations of protein to standard samples

qp_calc_abs_mean(): Calculate absorbance means with optional outlier removal

qp_calc_conc(): Predict concentrations from standards fit

qp_fit(): Fit an lm using standards absorbances

qp_remove_empty(): Remove empty wells from data

qp_add_names(): Add sample names

qp_dilute(): Calculate dilutions from predicted concentrations

qp_mark_outliers(): Mark absorbance outliers

Visualization

qp_plot_plate(): View the absorbances of an analyzed qp as they were on the plate

qp_plot_standards(): View an absorbance/concentration plot

qp_pal: The default color palette for qp

abs_to_col(): Convert an absorbance to a hexidecimal color

Summary functions

These functions won’t return an augmented version of their input when called - they are necessarily distilled versions of their input.

qp_summarize(): Summarize output from qp pipeline

qp_plot_plate(): View the absorbances of an analyzed qp as they were on the plate

qp_plot_standards(): View an absorbance/concentration plot

qp_report(): Create a report for a protein quantificaiton experiment

Data

absorbances: Absorbances from a protein quantification

Utilities

dilute(): Calculate dilution from known concentrations

make_pipette_vol(): Round volume to be pipette-compatible