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| Original file line number | Diff line number | Diff line change |
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| #' Pathfinder Network | ||
| #' | ||
| #' @description Estimates a pathfinder network using the MST-Pathfinder | ||
| #' Network method from Quirin et al. (2008; see also Schvaneveldt, 1990) | ||
| #' | ||
| #' @param ... Matrix or data frame. | ||
| #' A clean response matrices | ||
| #' | ||
| #' @param category Character. | ||
| #' Category of verbal fluency data | ||
| #' | ||
| #' @return A .csv file formatted for SNAFU | ||
| #' | ||
| #' @details The format of the file has 7 columns: | ||
| #' \itemize{ | ||
| #' \item{id}{Defaults to the row names of the inputted \code{data}} | ||
| #' | ||
| #' \item{listnum}{The list number for the fluency category. Defaults to 0. | ||
| #' Future implementations will allow more lists} | ||
| #' | ||
| #' \item{category}{The verbal fluency category that is input into the | ||
| #' \code{category} argument} | ||
| #' | ||
| #' \item{item}{The verbal fluency responses for every participant} | ||
| #' | ||
| #' \item{RT}{Response time. Currently not implemented. Defaults to 0} | ||
| #' | ||
| #' \item{RTstart}{Start of response time. Currently not implemented. Defaults to 0} | ||
| #' | ||
| #' \item{group}{Names of groups. Defaults to the names of the objects input into | ||
| #' the function (\code{...})} | ||
| #' } | ||
| #' | ||
| #' @examples | ||
| #' # Convert data to SNAFU | ||
| #' if(interactive()) | ||
| #' {convert2snafu(open.clean, category = "animals")} | ||
| #' | ||
| #' @references | ||
| #' # For SNAFU, see: | ||
| #' Zemla, J. C., Cao, K., Mueller, K. D., & Austerweil, J. L. (2020). | ||
| #' SNAFU: The Semantic Network and Fluency Utility. | ||
| #' \emph{Behavior Research Methods}, 1-19. | ||
| #' https://doi.org/10.3758/s13428-019-01343-w | ||
| #' | ||
| #' @author Alexander Christensen <alexpaulchristensen@gmail.com> | ||
| #' | ||
| #' @importFrom utils write.table | ||
| #' | ||
| #' @export | ||
| # Convert data to SNAFU | ||
| # Updated 24.09.2020 | ||
| convert2snafu <- function (..., category) | ||
| { | ||
| # Data list | ||
| data.list <- list(...) | ||
|
|
||
| # Initialize snafu matrix | ||
| snafu.mat <- matrix(0, nrow = 0, ncol = 7) | ||
| colnames(snafu.mat) <- c("id", "listnum", "category", "item", "RT", "RTstart", "group") | ||
|
|
||
| if(length(data.list) == 1) | ||
| { | ||
|
|
||
| }else{ | ||
|
|
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| # Get group names | ||
| name <- as.character(substitute(list(...))) | ||
| name <- name[-which(name=="list")] | ||
|
|
||
| for(i in 1:length(data.list)) | ||
| { | ||
| # Target data | ||
| target.data <- as.matrix(data.list[[i]]) | ||
|
|
||
| # Number of possible responses | ||
| n <- ncol(target.data) | ||
|
|
||
| # IDs | ||
| if(is.null(row.names(target.data))) | ||
| {id <- paste("A", 1:nrow(target.data), sep = "") | ||
| }else{id <- paste("A", formatC(as.numeric(row.names(target.data)), digits = 2, format = "d", flag = 0), sep = "")} | ||
|
|
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| for(j in 1:nrow(target.data)) | ||
| { | ||
| # Target participant | ||
| target.part <- target.data[j,] | ||
|
|
||
| # Item | ||
| item <- na.omit(target.part) | ||
|
|
||
| # Target ID | ||
| target.id <- rep(id[j], length(item)) | ||
|
|
||
| # List number | ||
| listnum <- rep(0, length(item)) | ||
|
|
||
| # Category | ||
| categorey <- rep(category, length(item)) | ||
|
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||
| # RT | ||
| RT <- rep(0, length(item)) | ||
|
|
||
| # RTstart | ||
| RTstart <- rep(0, length(item)) | ||
|
|
||
| # Group | ||
| group <- rep(name[i], length(item)) | ||
|
|
||
| # Bind data | ||
| target.mat <- cbind(target.id, listnum, | ||
| categorey, item, | ||
| RT, RTstart, group) | ||
|
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||
| row.names(target.mat) <- NULL | ||
| colnames(target.mat) <- colnames(snafu.mat) | ||
|
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| # Append snafu matrix | ||
| snafu.mat <- rbind(snafu.mat, target.mat) | ||
| } | ||
| } | ||
|
|
||
| } | ||
|
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| # Choose directory | ||
| DIR <- easycsv::choose_dir() | ||
|
|
||
| # Get file name | ||
| FILENAME <- readline("Name of file: ") | ||
|
|
||
| # Set up path | ||
| PATH <- paste(DIR, FILENAME, sep = "/") | ||
| PATH <- gsub("\\\\", "/", PATH) | ||
| PATH <- paste(PATH, "csv", sep = ".") | ||
|
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||
| write.table(snafu.mat, file = PATH, | ||
| quote = FALSE, sep = ",", row.names = FALSE) | ||
|
|
||
| # Message to user | ||
| message(paste("SNAFU formatted file was saved in: "), PATH) | ||
| } |
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| Original file line number | Diff line number | Diff line change |
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| # Cleaned response Matrices (Openness and Verbal Fluency)---- | ||
| #' Cleaned response Matrices (Openness and Verbal Fluency) | ||
| #' | ||
| #' Cleaned response matrices for the Animals verbal fluency data (\emph{n} = 516) | ||
| #' from Christensen et al. (2018). | ||
| #' | ||
| #' @name open.clean | ||
| #' | ||
| #' @docType data | ||
| #' | ||
| #' @usage data(open.clean) | ||
| #' | ||
| #' @format open.clean (matrix, 516 x 35) | ||
| #' | ||
| #' @keywords datasets | ||
| #' | ||
| #' @references | ||
| #' Christensen, A. P., Kenett, Y. N., Cotter, K. N., Beaty, R. E., & Silvia, P. J. (2018). | ||
| #' Remotely close associations: Openness to experience and semantic memory structure. | ||
| #' \emph{European Journal of Personality}, \emph{32}, 480-492. | ||
| #' doi:\href{https://doi.org/10.1002/per.2157}{10.1002/per.2157} | ||
| #' | ||
| #' @examples | ||
| #' data("open.clean") | ||
| NULL | ||
| #---- |
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