The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
The LATERmodel R package is an open-source implementation of Roger Carpenter’s Linear Approach to Threshold with Ergodic Rate (LATER) model (R. Carpenter (1981), Noorani and Carpenter (2016)). This package enables the easy visualisation of reaction time data in LATER’s signature reciprobit space, as well as estimating parameters to fit the model to datasets, comparing raw datasets, comparing fits (i.e., is the dataset better explained by a shift or a swivel?), adding an early component, etc.
This package also includes two canonical datasets digitised from R. H. S. Carpenter and Williams (1995) and Reddi, Asrress, and Carpenter (2003).
You can install LATERmodel with:
install.packages("LATERmodel")
Load digitised data from Figure 1 in Carpenter and Williams (1995):
library(LATERmodel)
data(carpenter_williams_1995)
Extract data corresponding only to participant a
(Figure
1.a):
<- subset(carpenter_williams_1995, participant == "a") raw_data
The data analysis functions within this package require the raw data
to first undergo pre-processing using the prepare_data
function. We pass our raw_data
variable as the argument to
the raw_data
parameter of prepare_data
to
perform such pre-processing:
<- prepare_data(raw_data = raw_data) data
Fit each condition individually (no shared parameters between them), and include an early component for all of them:
<- individual_later_fit(data, with_early_component = TRUE) data_fit
Visualise the raw data and the best individual fits:
reciprobit_plot(data, data_fit)
For a more detailed analysis using the LATERmodel
R
package, see this
article.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.