Package: vascr 0.1.3

James JW Hucklesby

vascr: Process Biological Impedance Sensing Data

Process complex impedance sensing datasets, including those generated by 'ECIS', 'xCELLigence', 'cellZscope' and 'scioSpec' 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. (2021) <doi:10.3390/bios11050159>.

Authors:James JW Hucklesby [cre, aut, cph], Charles Unsworth [aut], E Scott Graham [aut], Catherine E angel [aut]

vascr_0.1.3.tar.gz
vascr_0.1.3.zip(r-4.7)vascr_0.1.3.zip(r-4.6)vascr_0.1.3.zip(r-4.5)
vascr_0.1.3.tgz(r-4.6-any)vascr_0.1.3.tgz(r-4.5-any)
vascr_0.1.3.tar.gz(r-4.6-any)vascr_0.1.3.tar.gz(r-4.5-any)
vascr_0.1.3.tgz(r-4.5-emscripten)
vascr.pdf |vascr.html✨
vascr/json (API)
NEWS

# Install 'vascr' in R:
install.packages('vascr', repos = c('https://jameshucklesby.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/jameshucklesby/vascr/issues

Datasets:

On CRAN:

Conda:

3.65 score 10 scripts 32 exports 108 dependencies

Last updated from:dcbee5edfa. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE328
source / vignettesOK247
linux-release-x86_64NOTE301
macos-release-arm64NOTE207
macos-oldrel-arm64NOTE197
windows-develNOTE290
windows-releaseNOTE253
windows-oldrelNOTE304
wasm-releaseOK169

Exports:%>%ecis_importgluetribblevascr_add_vlinevascr_apply_mapvascr_combinevascr_dunnettvascr_edit_namevascr_edit_samplevascr_excludevascr_explodevascr_export_prismvascr_findvascr_find_levelvascr_find_metadatavascr_implodevascr_importvascr_loadvascr_normalisevascr_plot_anovavascr_plot_gridvascr_plot_linevascr_plot_line_dunnettvascr_plot_resamplevascr_resample_timevascr_samplesvascr_savevascr_shinyvascr_subsetvascr_summarisevascr_zero_time

Dependencies:abindbackportsbootbroomcachemcarcarDataclicodetoolscolorspacecommonmarkcorrplotcowplotcpp11curlDerivdigestdoBydoFuturedplyrfarverfastmapforeachforecastFormulafracdifffurrrfuturefuture.applygenericsggnewscaleggplot2ggpubrggrepelggsciggsignifggtextglobalsgluegridExtragridtextgtableisobanditeratorsjpeglabelinglatticelifecyclelistenvlitedownlme4lmtestmagrittrmarkdownMASSMatrixMatrixModelsmemoisemgcvmicrobenchmarkminqamodelrmultcompmvtnormnlmenloptrnnetnumDerivparallellypatchworkpbkrtestpillarpkgconfigpngpolynomprogressrpurrrquantregR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangrstatixS7sandwichscalesSparseMstringistringrsurvivalTH.datatibbletidyrtidyselecttimeDateurcautf8vctrsviridisLitewithrxfunxml2zoo

Readme and manuals

Help Manual

Help pageTopics
re-export magrittr pipe operator%>% glue tribble
Import all ECIS values, a child of ecis_import_raw and ecis_import_modelecis_import
Vascr growth datagrowth.df
Add a vertical line to a vascr line plotvascr_add_vline
Apply a map to a vascr datasetvascr_apply_map
Combine ECIS data frames end to endvascr_combine
Run ANOVA and Dunnett's comparisons on a vascr datasetvascr_dunnett
Edit a sample name in a vascr dataframevascr_edit_name
Rename a sample in a vascr datasetvascr_edit_sample
Exclude samples from a vascr datasetvascr_exclude
Separate names in a vascr data framevascr_explode
Export a vascr dataframevascr_export_prism
Find vascr variablesvascr_find
Check the level of a vascr data framevascr_find_level
Print out the characteristics of the vascr data framevascr_find_metadata
Implode individual samples from a vascr datasetvascr_implode
Import an impedance datafile to vascrvascr_import
Load a vascr datasetvascr_load
Normalize ECIS data to a single time pointvascr_normalise
Make a display with all the ANOVA analysis pre-conductedvascr_plot_anova
Plot out each replicate well in a grid, with QC overlaysvascr_plot_grid
Plot a line graph with vascrvascr_plot_line
Create a line plot with Dunnett's statisticsvascr_plot_line_dunnett
Plot the data re sampling processvascr_plot_resample
Resample a vascr datasetvascr_resample_time
List out the samples currently in a vascr data setvascr_samples
Save a vascr datasetvascr_save
Launch the vascr UIvascr_shiny
Subset a vascr data set based on a number of factorsvascr_subset
Summarise a vascr data set down to a particular levelvascr_summarise
Set a particular time point as 0 in a vascr datasetvascr_zero_time