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#' @importFrom magrittr %>% %<>% use_series set_names extract extract2 add multiply_by
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#' @import ggplot2
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#' @importFrom stats median runif quantile
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#' @importFrom utils available.packages menu update.packages packageVersion
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#' @importFrom utils available.packages menu update.packages packageVersion install.packages
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bins <- function(data, value, n_bins) {
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  my_value   <- enquo(value)
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  length_out <- n_bins + 1
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  data %>%
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    pull(!! my_value) %>%
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    dplyr::pull(!! my_value) %>%
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    quantile(probs = seq(0, 1, length.out = length_out)) %>%
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    unname() %>%
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    extract(c(-1, -length_out)) %>%
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  my_value <- enquo(value)
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  data %>%
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    pull(!! my_value) %>%
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    dplyr::pull(!! my_value) %>%
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    min() %>%
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    append(bins)
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  data_max <-
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    data %>%
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    pull(!! my_value) %>%
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    dplyr::pull(!! my_value) %>%
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    max() %>%
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    add(1)
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  my_column <- enquo(column)
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  rfm_heatmap_data %>%
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    pull(!! my_column) %>%
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    dplyr::pull(!! my_column) %>%
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    as.factor() %>%
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    levels() %>%
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    as.vector() %>%
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  extra_data        <- expand.grid(missing2, seq_len(n_bins), 0)
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  names(extra_data) <- names(rfm_heatmap_data)
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  bind_rows(rfm_heatmap_data, extra_data)
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  dplyr::bind_rows(rfm_heatmap_data, extra_data)
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}
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Files Coverage
R 88.69%
Project Totals (9 files) 88.69%
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comment: false
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coverage:
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  status:
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    project:
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      default:
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        target: auto
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        threshold: 1%
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        informational: true
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    patch:
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      default:
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        target: auto
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        threshold: 1%
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        informational: true
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