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  • 26d1524
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  • prep.R
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To reference or cite the objects present in the Software Heritage archive, permalinks based on SoftWare Hash IDentifiers (SWHIDs) must be used.
Select below a type of object currently browsed in order to display its associated SWHID and permalink.

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swh:1:cnt:9a8fca4736322f628454195f48a860525f91f60a
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swh:1:dir:26d15248f18eb5be80e02b610bd4fcb500c3e047

This interface enables to generate software citations, provided that the root directory of browsed objects contains a citation.cff or codemeta.json file.
Select below a type of object currently browsed in order to generate citations for them.

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(requires biblatex-software package)
Generating citation ...
(requires biblatex-software package)
Generating citation ...
prep.R
assume_direction_pos_class <- function(x, class, pos_class, neg_class, direction,
                                       na.rm, uc) {

    # Handle NAs
    if (na.rm) {
        na_indx <- is.na(x)
        na_indc <- is.na(class)
        complete_ind <- !(na_indx + na_indc)
        x <- x[complete_ind]
        class <- class[complete_ind]
    }

    if (is.null(direction) & !is.null(pos_class)) {
        if (stats::median(x[class != pos_class]) < stats::median(x[class == pos_class])) {
            message("Assuming the positive class has higher x values")
            direction <- ">="
        } else {
            message("Assuming the positive class has lower x values")
            direction <- "<="
        }
    }
    if (is.null(direction) & is.null(pos_class)) direction <- ">="
    if (!is.null(direction) & is.null(pos_class)) {
        if (direction == ">" | direction == ">=") {
            if (stats::median(x[class == uc[1]]) > stats::median(x[class == uc[2]])) {
                message(paste("Assuming the positive class is", uc[1]))
                message("Assuming the positive class has higher x values")
                pos_class <- uc[1]
            } else {
                message(paste("Assuming the positive class is", uc[2]))
                message("Assuming the positive class has higher x values")
                pos_class <- uc[2]
            }
        } else {
            if (stats::median(x[class == uc[1]]) < stats::median(x[class == uc[2]])) {
                message(paste("Assuming the positive class is", uc[1]))
                message("Assuming the positive class has lower x values")
                pos_class <- uc[1]
            } else {
                message(paste("Assuming the positive class is", uc[2]))
                message("Assuming the positive class has lower x values")
                pos_class <- uc[2]
            }
        }
    }
    if (!any(pos_class == class)) stop("Positive class not found in data")
    if (is.null(neg_class)) {
        neg_class <- unique(class)
        neg_class <- neg_class[neg_class != pos_class]
    }
    return(list(direction = direction, pos_class = pos_class, neg_class = neg_class))
}


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