ERGtools2

Package details, installation notes, and examples.

Description

The ERGtools2 package is an environment for working with
electroretinogram data. It contains an import method for Diagnosys
Espion data, but allows reading in of data coming in other formats with
limited coding effort. Standard procedures like averaging, sub-setting
an visualization of individual exams are supported.

Installation

You can install the development version of ERGtools2 from
GitHub with:

if (!requireNamespace("remotes", quietly = TRUE)){
  install.packages("remotes")
}
remotes::install_github("moritzlindner/ERGtools2")

Note that ERGtools2 depends on the github-deposited R Packages
EPhysData and EPhysMethods. Installation usually works
automatically. Updating, however may fail. If this is the case, update
manually using the following line of code:

remotes::install_github("moritzlindner/EPhysData")
remotes::install_github("moritzlindner/EPhysMethods")

Examples

This is a basic example which shows you how to solve a common problem:

library(ERGtools2)

## a typical workflow
data(ERG) # load example data, to import own data, see the examples provided for newERGExam and ImportEspion
StimulusTable(ERG) # have a look whats inside
#>   Step     Description Intensity Background  Type
#> 1    1 DA 0 01 cd s m       0.01         DA Flash
#> 2    2    DA 1 cd s m       1.00         DA Flash
#> 3    3    DA 3 cd s m       3.00         DA Flash
Metadata(ERG)
#>    Step Channel Repeat Eye Channel_Name Recording
#> 1     1     ERG      1  RE          ERG         1
#> 2     1     ERG      1  LE          ERG         2
#> 3     1      OP      1  RE           OP         3
#> 4     1      OP      1  LE           OP         4
#> 5     2     ERG      1  RE          ERG         5
#> 6     2     ERG      1  LE          ERG         6
#> 7     2      OP      1  RE           OP         7
#> 8     2      OP      1  LE           OP         8
#> 9     3     ERG      1  RE          ERG         9
#> 10    3     ERG      1  LE          ERG        10
#> 11    3      OP      1  RE           OP        11
#> 12    3      OP      1  LE           OP        12
ERG<-ClearMeasurements(ERG) # Clear Measuremnts that migth be alredy in object
ERG<-SetStandardFunctions(ERG)
ggERGTrace(ERG, where = list( Step = as.integer(3), Eye = "RE", Channel ="ERG", Repeat = as.integer(1))) # pick one and have a look at the traces as imported

ERG <- AutoPlaceMarkers(ERG, Channel.names = pairlist(ERG = "ERG")) # automatically place markers
#> ========================================================================================================================================================================================================================
Measurements(ERG)
#> ========================================================================================================================================================================================================================
#>    Recording Step     Description Channel Repeat Eye Name Relative       Time         Voltage Channel_Name Recording.y
#> 1          1    1 DA 0 01 cd s m      ERG      1  RE    a     <NA> 0.0315 [s]  -53.17071 [uV]          ERG           1
#> 2          1    1 DA 0 01 cd s m      ERG      1  RE    B        a 0.0515 [s]  346.34079 [uV]          ERG           1
#> 3          2    1 DA 0 01 cd s m      ERG      1  LE    a     <NA> 0.0310 [s]  -85.88321 [uV]          ERG           2
#> 4          2    1 DA 0 01 cd s m      ERG      1  LE    B        a 0.0505 [s]  310.38093 [uV]          ERG           2
#> 5          5    2    DA 1 cd s m      ERG      1  RE    a     <NA> 0.0125 [s] -206.37706 [uV]          ERG           5
#> 6          5    2    DA 1 cd s m      ERG      1  RE    B        a 0.0355 [s]  547.86889 [uV]          ERG           5
#> 7          6    2    DA 1 cd s m      ERG      1  LE    a     <NA> 0.0130 [s] -209.66536 [uV]          ERG           6
#> 8          6    2    DA 1 cd s m      ERG      1  LE    B        a 0.0355 [s]  491.97428 [uV]          ERG           6
#> 9          9    3    DA 3 cd s m      ERG      1  RE    a     <NA> 0.0090 [s] -233.89249 [uV]          ERG           9
#> 10         9    3    DA 3 cd s m      ERG      1  RE    B        a 0.0345 [s]  587.60032 [uV]          ERG           9
#> 11        10    3    DA 3 cd s m      ERG      1  LE    a     <NA> 0.0095 [s] -240.61577 [uV]          ERG          10
#> 12        10    3    DA 3 cd s m      ERG      1  LE    B        a 0.0345 [s]  568.70641 [uV]          ERG          10
ggERGTrace(ERG, where = list( Step = as.integer(3), Eye = "RE", Channel ="ERG", Repeat = as.integer(1))) # pick one and have a look at the traces as imported
#> ========================================================================================================================================================================================================================
#> ========================================================================================================================================================================================================================