vascr0.1.4 package

Process Biological Impedance Sensing Data

ecis_import

Import all ECIS values, a child of ecis_import_raw and ecis_import_mod...

re-exports

re-export magrittr pipe operator

vascr_add_vline

Add a vertical line to a vascr line plot

vascr_apply_map

Apply a map to a vascr dataset

vascr_combine

Combine ECIS data frames end to end

vascr_dunnett

Run ANOVA and Dunnett's comparisons on a vascr dataset

vascr_edit_name

Edit a sample name in a vascr dataframe

vascr_edit_sample

Rename a sample in a vascr dataset

vascr_exclude

Exclude samples from a vascr dataset

vascr_explode

Separate names in a vascr data frame

vascr_export_prism

Export a vascr dataframe

vascr_find_level

Check the level of a vascr data frame

vascr_find_metadata

Print out the characteristics of the vascr data frame

vascr_find

Find vascr variables

vascr_implode

Implode individual samples from a vascr dataset

vascr_import

Import an impedance datafile to vascr

vascr_load

Load a vascr dataset

vascr_normalise

Normalize ECIS data to a single time point

vascr_plot_anova

Make a display with all the ANOVA analysis pre-conducted

vascr_plot_grid

Plot out each replicate well in a grid, with QC overlays

vascr_plot_line_dunnett

Create a line plot with Dunnett's statistics

vascr_plot_line

Plot a line graph with vascr

vascr_plot_resample

Plot the data re sampling process

vascr_resample_time

Resample a vascr dataset

vascr_samples

List out the samples currently in a vascr data set

vascr_save

Save a vascr dataset

vascr_shiny

Launch the vascr UI

vascr_subset

Subset a vascr data set based on a number of factors

vascr_summarise

Summarise a vascr data set down to a particular level

vascr_zero_time

Set a particular time point as 0 in a vascr dataset

vascr-package

vascr: Process Biological Impedance Sensing Data

Process complex impedance sensing datasets, including those generated by ECIS, xCELLigence and cellZscope instruments. Data can be imported to a standardised tidy format and then plotted. Support for conducting and plotting the outputs of ANOVA (with appropriate tests of statistical assumptions) and cross-correlation analysis. For data processed using this package see Hucklesby et al. (2020) <doi:10.3390/bios11050159>.

  • Maintainer: James JW Hucklesby
  • License: GPL (>= 3)
  • Last published: 2026-02-06