Man pages for erpR
Event-related potentials (ERP) analysis, graphics and utility functions
| butterfly | ERP butterfly plot |
| char2fac | convert characters to factors |
| check.erplist | check consistency of an erplist |
| cn | display column names |
| create.diff | create an ERP data frame with differential values |
| create.mean | create ERP data frames with mean values from a series of data... |
| create.roi | create electrode region of interests |
| erp | plot an ERP waveform |
| erp.add | add an ERP waveform to a plot |
| erp.cor | plot the timepoint correlations between ERPs (single... |
| erp.infl | inspect the influence of a subject on the average (single... |
| erp.latency | calculate latency of several ERP data frames on a given time... |
| erp.mean | Calculate the mean of several ERP data frames in a given time... |
| erp.peak | calculate the peak of several ERP data frames in a given time... |
| erpR-package | erpR package |
| ERPsets | list of ERP data frames |
| erp.t | plot t-test comparisons at all timepoints between two sets of... |
| erp.xaxis | Draw an erp x axis |
| erp.yaxis | Draw an erp y axis |
| factorall | Factorize one or more variables in a data frame |
| grandaverage | calculate the grandaverage of ERP data frames for graphical... |
| import.erp | import ERP data matrices from ASCII files (file extension... |
| localmax | calculate a local maximum |
| localmin | calculate a local minimum |
| msectopoints | convert points in milliseconds |
| named.agg | aggregate and keep the original names |
| pointstomsec | convert points in milliseconds |
| rearrange | rearrange a data frame from wide to long format |
| scalp | plot ERP waveforms in a scalp array |
| scalp.cor | plot the timepoint correlations between ERPs and an external... |
| scalp.infl | inspect the influence of a subject on an average (scalp... |
| scalp.t | plot t-test comparisons at all timepoints between two ERP set... |
| topoplot | plot a topographic map of ERP |
| topoplot.palette | Add a palette to a plot |
| tpairs | calculate pairwise t-tests |
