Module: Wrnap::Graphing::R
- Defined in:
- lib/wrnap/graphing/r.rb
Class Method Summary collapse
- .graph(width: 8, height: 6, &block) ⇒ Object
- .histogram(data, title: nil, x_label: "Bins", num_bins: false, bin_size: 1, x_arrow: false, relative: false, filename: false) ⇒ Object
- .line_graph(data, title: nil, type: ?l, x_label: "Independent", y_label: "Dependent", filename: false) ⇒ Object
- .matrix_heatmap(x, y, z, title: nil, x_label: "Column index", y_label: "Row index", filename: false, num_colors: 64) ⇒ Object
- .overlay(data, title: nil, type: ?l, x_label: "Independent", y_label: "Dependent", legend: "topleft", filename: false) ⇒ Object
- .roc(data, title: nil, baseline: true, filename: false) ⇒ Object
- .roc_overlay(data, title: nil, auc_in_legend: true, filename: false) ⇒ Object
- .scatterplot(data, title: nil, x_label: "Independent", y_label: "Dependent", filename: false) ⇒ Object
Class Method Details
.graph(width: 8, height: 6, &block) ⇒ Object
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# File 'lib/wrnap/graphing/r.rb', line 5 def graph(width: 8, height: 6, &block) if const_defined?(:RinRuby) begin generate_graph(r_instance = RinRuby.new(false), width, height, &block).tap { r_instance.close } rescue RuntimeError => e raise unless e. == "Unsupported data type on R's end" end else raise RuntimeError.new("Your system does not appear to have R installed, and thus the RinRuby gem was not loaded.") end end |
.histogram(data, title: nil, x_label: "Bins", num_bins: false, bin_size: 1, x_arrow: false, relative: false, filename: false) ⇒ Object
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# File 'lib/wrnap/graphing/r.rb', line 121 def histogram(data, title: nil, x_label: "Bins", num_bins: false, bin_size: 1, x_arrow: false, relative: false, filename: false) half = bin_size / 2.0 range = Range.new((data.min - half).floor, (data.max + half).ceil) breaks = num_bins ? num_bins : (range.min + half).step(range.max + half, bin_size).to_a graph do |r| r.assign("histogram.data", data) r.assign("histogram.breaks", breaks) r.eval <<-STR hist( histogram.data, breaks = histogram.breaks, xlab = #{expressionify(x_label)}, main = #{expressionify(title || "Histogram")}, freq = #{relative ? 'F' : 'T'}, cex.main = 0.9, cex.lab = 0.9, cex.axis = 0.9 ) STR r.eval("abline(v = #{x_arrow}, lty = 'dashed')") if x_arrow end end |
.line_graph(data, title: nil, type: ?l, x_label: "Independent", y_label: "Dependent", filename: false) ⇒ Object
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# File 'lib/wrnap/graphing/r.rb', line 74 def line_graph(data, title: nil, type: ?l, x_label: "Independent", y_label: "Dependent", filename: false) ([{ data: data }], title: title, type: type, x_label: x_label, y_label: y_label, legend: false, filename: filename) end |
.matrix_heatmap(x, y, z, title: nil, x_label: "Column index", y_label: "Row index", filename: false, num_colors: 64) ⇒ Object
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# File 'lib/wrnap/graphing/r.rb', line 147 def matrix_heatmap(x, y, z, title: nil, x_label: "Column index", y_label: "Row index", filename: false, num_colors: 64) graph do |r| if r.pull("ifelse('Matrix' %in% rownames(installed.packages()), 1, -1)") > 0 if forced_square = (x.max != y.max) x << [x, y].map(&:max).max y << [x, y].map(&:max).max z << 0 end r.assign("matrix.i", x) r.assign("matrix.j", y) r.assign("matrix.x", z) r.eval <<-STR require("Matrix") matrix.data <- sparseMatrix( i = matrix.i, j = matrix.j, x = matrix.x, index1 = F ) filtered.values <- Filter(function(i) { is.finite(i) & i != 0 }, matrix.x) print(apply(as.matrix(matrix.data), 2, rev)) print(c(sort(filtered.values)[2], max(filtered.values))) image( x = 1:max(c(dim(matrix.data)[[1]], dim(matrix.data)[[2]])), y = 1:max(c(dim(matrix.data)[[1]], dim(matrix.data)[[2]])), z = as.matrix(matrix.data), col = rev(heat.colors(#{num_colors})), zlim = #{forced_square ? "c(sort(filtered.values)[2], max(filtered.values))" : "c(min(filtered.values), max(filtered.values))"}, xlab = "#{x_label} (1-indexed)", ylab = "#{y_label} (1-indexed)" ) title(#{expressionify(title || "Matrix Heatmap")}) STR else puts "Please install the Matrix package for R before using this function." end end end |
.overlay(data, title: nil, type: ?l, x_label: "Independent", y_label: "Dependent", legend: "topleft", filename: false) ⇒ Object
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# File 'lib/wrnap/graphing/r.rb', line 17 def (data, title: nil, type: ?l, x_label: "Independent", y_label: "Dependent", legend: "topleft", filename: false) # data: [{ data: [[x_0, y_0], ..., [x_n, y_n]], legend: "Line 1" }, ...] x_points = data.map { |hash| hash[:data].map(&:first) } y_points = data.map { |hash| hash[:data].map(&:last) } x_range = Range.new(x_points.map(&:min).min.floor, x_points.map(&:max).max.ceil) y_range = Range.new(y_points.map(&:min).min.floor, y_points.map(&:max).max.ceil) graph do |r| r.assign("legend.titles", data.each_with_index.map { |hash, index| hash[:legend] || "Line #{index + 1}" }) r.eval("line.colors <- rainbow(%d)" % data.size) r.eval("plot(0, 0, type = 'n', cex = .75, cex.axis = .9, xlab = '', ylab = '', xlim = c(%d, %d), ylim = c(%d, %d))" % [ x_range.min, x_range.max, y_range.min, y_range.max ]) data.each_with_index do |hash, index| r.assign("line_graph.x.%d" % index, x_points[index]) r.assign("line_graph.y.%d" % index, y_points[index]) r.eval <<-STR lines( line_graph.x.#{index}, line_graph.y.#{index}, col = line.colors[#{index + 1}], type = "#{type}", pch = #{index} ) STR end r.eval <<-STR title( xlab = #{expressionify(x_label)}, ylab = #{expressionify(y_label)}, main = #{expressionify(title || "Line Graph")}, cex.main = .9, cex.lab = .9 ) STR if legend r.eval <<-STR legend( "#{legend}", legend.titles, bty = "o", bg = rgb(1, 1, 1, .5, 1), col = line.colors, lty = rep(1, #{data.size}), pch = 0:#{data.size}, cex = .6 ) STR end end end |
.roc(data, title: nil, baseline: true, filename: false) ⇒ Object
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# File 'lib/wrnap/graphing/r.rb', line 82 def roc(data, title: nil, baseline: true, filename: false) # data: [[-0.894, 1.0], [-0.950, 1.0], [0.516, -1.0], ..., [0.815, -1.0], [0.740, -1.0]] auc = ROC.auc(data) title_with_auc = title ? "%s (AUC: %.4f)" % [title, auc] : "AUC: %.4f" % auc ( [{ data: ROC.curve_points(data) }, { data: [[0, 0], [1, 1]] }], title: title_with_auc, x_label: "False positive rate", y_label: "True positive rate", legend: false, filename: filename ) end |
.roc_overlay(data, title: nil, auc_in_legend: true, filename: false) ⇒ Object
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# File 'lib/wrnap/graphing/r.rb', line 96 def (data, title: nil, auc_in_legend: true, filename: false) # [{ data: [[-0.894, 1.0], [-0.950, 1.0], [0.516, -1.0], ..., [0.815, -1.0], [0.740, -1.0]], legend: "ROC 1" }, ...] formatted_data = data.map do |hash| curve_points = ROC.curve_points(hash[:data]) if auc_in_legend auc = ROC.auc(hash[:data]) legend = hash[:legend] ? "%s (AUC: %.4f)" % [hash[:legend], auc] : "AUC: %.4f" % auc hash.merge({ data: curve_points, legend: legend }) else hash.merge({ data: curve_points }) end end ( formatted_data, title: title, x_label: "False positive rate", y_label: "True positive rate", legend: "bottomright", filename: filename ) end |
.scatterplot(data, title: nil, x_label: "Independent", y_label: "Dependent", filename: false) ⇒ Object
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# File 'lib/wrnap/graphing/r.rb', line 78 def scatterplot(data, title: nil, x_label: "Independent", y_label: "Dependent", filename: false) line_graph(data, title: title || "Scatterplot", type: ?p, x_label: x_label, y_label: y_label, filename: filename) end |