vascr_normalise

This function normalises each unique experiment/well combination to it's value at the specified time. Contains options to do this either by division or subtraction. Can be run twice on the same dataset if both operations are desired.

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>.

James JW Hucklesby

vascr

Process Biological Impedance Sensing Data

Charles Unsworth

E Scott Graham

Catherine E angel

vascr_normalise function

<dl><dt>data.df</dt>
<dd>Standard vascr data frame</dd>
<dt>normtime</dt>
<dd>Time to normalize the data to</dd>
<dt>divide</dt>
<dd>If set to true, data will be normalized via a division. If set to false (default) data will be normalized by subtraction. Default is subtraction</dd></dl>

Arguments

Normalize ECIS data to a single time point — vascr_normalise

<dl>

<dt>data.df</dt>
<dd>Standard vascr data frame</dd>


<dt>normtime</dt>
<dd>Time to normalize the data to</dd>


<dt>divide</dt>
<dd>If set to true, data will be normalized via a division. If set to false (default) data will be normalized by subtraction. Default is subtraction</dd>

</dl>

vascr_normalise: Normalize ECIS data to a single time point

Description

Usage

Value

Arguments

Examples