Package `WMCapacity`
Contents
1. The womExtractModel function allows the user access to the model specifications and analysis results from the GUI once they ve been defined For further details see the user s manual at http wmcapacity r forge r project org wommbatGUI 5 Value A list containing the following elements if applicable modelName The name of the model model A list containing the model specification priors A list containing the prior specification settings A list containing the MCMC settings if an analysis has been performed results A list containing the results if an analysis has been performed See Also wommbatGUI for fitting the working memory models Examples Not run load Visual Array data set Rouder et al 2008 data VisualArray Define the model in the GUI wommbatGUI dataFrame VisualArray extract the first model Replace Model with the model name in quotes myModel womExtractModel name Model examine the posterior means if an analysis has been performed myModel results pointEst End Not run wommbatGUI Start GUI for working memory capacity estimation Description wommbatGUI starts the graphical user interface for building and estimating parameters of working memory models This is the main interface for the WMCapacity package Usage wommbatGUI project NULL projectFile NULL CSVfile NULL dataFrame NULL devel FALSE 6 wommbatGUI Arguments dataF rame a2. lt richarddmorey gmail com gt References Morey R D 2011 A hierarchical Bayesian model for the measurement of working memory capacity Journal of Mathematical Psychology 55 8 24 VisualArray Working memory visual array change detection responses Description This dataset contains the cleaned data which was analyzed in Rouder Morey Cowan Zwilling Morey and Pratte 2008 Usage data VisualArray VisualArray Format A data frame with 12345 observations on the following 36 variables sub the subject number blk the block number trl the trial number within a block prch the log odds of a change trial within that block N the visual array set size ischange whether the array changed or not 1 changed resp whether the participant responded change 1 changed RT the response time probesq which square number was probed newcol the color of the probed square c1 the color of square 1 Xx y c2 the color of square 2 the x location of square 1 the y location of square 1 x2 the x location of square 2 y2 the y location of square 2 c3 the color of square 3 x3 the x location of square 3 y3 the y location of square 3 c4 the color of square 4 x4 the x location of square 4 y4 the y location of square 4 c5 the color of square 5 x5 the x location of square 5 y5 the y location of square 5 c6 the color of square 6 x6 the x location of square 6 y6 the y location of square 6 c7
3. the color of square 7 x7 the x location of square 7 y7 the y location of square 7 c8 the color of square 8 x8 the x location of square 8 y8 the y location of square 8 cor whether the participant was correct or not oldcol the color of the probed square in the study array 4 womExtractModel Details Each trial consisted of a presentation of N colored squares in an array followed by a mask and then a single square The square was either the same color or a different color than the one in the same location in the first array The participant responded change if they believed the square was different Source Rouder J N Morey R D Cowan N Zwilling C E Morey C C amp Pratte M S 2008 An Assessment of Fixed Capacity Models of Visual Working Memory Proceedings of the National Academy of Sciences 105 5976 5979 Examples data VisualArray Aggregated hit and false alarm rates tapply VisualArray resp list VisualArray ischange VisualArray N VisualArray prch mean womExtractModel Extract WMCapacity model specification and results Description The womExtractModel function allows the user to extract model specification and results that were defined in the wommbatGUI graphical user interface This allows the user to extract results for the purposes of making plots et cetera in R Usage womExtractModel name 1 Arguments name the name or number of the model defined in the GUI Details
4. Package WMCapacity February 15 2013 Type Package Title GUI implementing Bayesian working memory models Version 0 9 6 6 Date 2011 11 16 Author R D Morey lt richarddmorey gmail com gt Maintainer R D Morey lt richarddmorey gmail com gt Depends R gt 2 10 gtools gWidgets gWidgetsRGtk2 coda cairoDevice Imports RGtk2 grDevices XML Description A GUI R implementation of hierarchical Bayesian models of working memory used for analyzing change detection data License GPL 2 LazyLoad yes URL http drsmorey org research rdmorey Repository CRAN Repository R Forge Project wmcapacity Repository R Forge Revision 64 Date Publication 2011 11 24 09 13 09 NeedsCompilation yes R topics documented WMCapacity package oa VISUALATTAY occ abal e BA PBR RR SR an pan womExtractModel ka wommbatGUL oiga an A A aa ea ew Aa Pb In ad SO wommbatNoGUI ik womRPredVals aa a N A E E E E A VisualArray Index 10 WMCapacity package Estimation of working memory capacity from change detection data Description The WMCapacity package implements the hierarchical Bayesian multinomial models of Morey 2011 for the estimation of working memory capacity from change detection data Details Package WMCapacity Type Package Version 0 9 Date 2009 06 20 License GPL 2 LazyLoad yes Most users will want to use this package through the wommbatGUI function Author s Richard D Morey
5. batNoGUI 6 7 womRPredVals 8 10
6. data frame containing the trial by trial data to be analyzed CSVfile the location of a CSV file containing the trial by trial data to be analyzed projectFile a saved WMCapacity analysis Rdata file containing all the necessary infor mation necessary to start an analysis project a environment of a WMCapacity analysis containing all the necessary informa tion necessary to start an analysis devel Turn on undocumented testing features Details This function starts the GUI for estimating working memory capacity from change detection data using the hierarchical Bayesian models described in Morey 2011 There are a number of ways of passing data to the function If you have the trial by trial data already loaded in R you can pass the data via the dataFrame argument If it is in a CSV file you can load it by passing the path via the CSVfile argument If you saved the analysis and wish to reload it you can use the pass the saved file name to the projectFile argument argument Alternatively you may load data via the GUI For further details click on the Help button in the GUI or see the user s manual at http wmcapacity r forge r project org Value This function returns nothing The defined models and results may be extracted my means of the womExtractModel function See Also wommbatNoGUI for the non GUI interface useful for simulations Examples Not run load Visual Array data set Rouder et al 2008 data Vis
7. ecking Usage womRPredVals x setup Arguments x the vector containing values at which to evaluate the function setup a list object created by means of the womExtractModel function containing the model specification Details The womRPredVals function computes predicted probabilities for the model and design specified by the setup argument The probability of responding change in a change detection task is predicted for each trial For further details see the user s manual at http wmcapacity r forge r project org Value A vector of predicted probabilities each element corresponds to a trial See Also wommbatGUI for fitting the working memory models and womExtractModel for extracting a model specification Examples Not run load Visual Array data set Rouder et al 2008 data VisualArray wommbatGUI dataFrame VisualArray Once the model is defined via the GUI compute log likelihood at posterior mean replace Model with model name in quotes myModel womExtractModel Model womkRPred Vals posteriorMean myModel results pointEstL 5 womRPredVals posteriorMean myModel End Not run Index Topic datasets VisualArray 2 Topic nonlinear WMCapacity package 2 womExtractModel 4 wommbatGUI 5 wommbatNoGUI 7 womRPredVals 8 VisualArray 2 WMCapacity WMCapacity package 2 WMCapacity package 2 womExtractModel 4 6 8 wommbatGUI 2 5 5 7 8 womm
8. ualArray wommbatGUI dataFrame VisualArray End Not run wommbatNoGUI 7 wommbatNoGUI Analyze working memory models with no GUI Description The wommbatNoGUI function analyzes the models defined in a saved wommbat analysis file without using the GUI This is useful for simulations Usage wommbatNoGUI project NULL projectFile NULL settings Arguments settings a list containing the MCMC settings for the analysis See womExtractModel projectFile a saved WMCapacity analysis Rdata file containing all the necessary infor mation necessary to start an analysis project a environment of a WMCapacity analysis containing all the necessary informa tion necessary to start an analysis Details This function analyzes the models specified in the saved analysis file using no GUI For further details click on the Help button in the GUI or see the user s manual at http wmcapacity r forge r project org Value This function returns nothing The defined models and results may be extracted my means of the womExtractModel function See Also wommbatGUI for the GUI interface useful for simulations 8 womRPred Vals womRPredVals Compute predicted values for working memory models in the package WMCapacity Description The RPredVals function computes predicted response probabilities for a specified working memory model and design given values of the effect parameters This function is useful for model ch
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