ja.po

msgid ""
msgstr ""
"POT-Creation-Date: 2021-07-26 12:08:06+01000\n"
"PO-Revision-Date: 2026-03-26 05:09+0000\n"
"Last-Translator: SHIBATA Seiji <contact@sbtseiji.net>\n"
"Language-Team: Japanese <https://hosted.weblate.org/projects/jamovi/jys-i18n/"
"ja/>\n"
"Language: ja\n"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=UTF-8\n"
"Content-Transfer-Encoding: 8bit\n"
"Plural-Forms: nplurals=1; plural=0;\n"
"X-Generator: Weblate 5.17-dev\n"

#: R\mroc.b.R
msgid " [{prc}% CI]"
msgstr " [{prc}%信頼区間]"

#: R\mcor.b.R
msgid "{ciWidth}% CI Lower"
msgstr "{ciWidth}%信頼区間下限"

#: R\mcor.b.R
msgid "{ciWidth}% CI Upper"
msgstr "{ciWidth}%信頼区間上限"

#: R\mui.b.R
msgid "{varType} proposed decision"
msgstr "{varType} 決定案"

#: R\mmf.b.R
msgid "{varType} with imputed values"
msgstr "欠損値補完あり {varType}"

#: R\mout.b.R
msgid "{varType} without outliers"
msgstr "外れ値なし {varType}"

#: R\mcor.b.R
msgid "* p < .05, ** p < .01, *** p < .001, one-tailed"
msgstr "* p < .05, ** p < .01, *** p < .001, 片側検定"

#: R\mmf.b.R
msgid "**connection of a variable's observed data"
msgstr "** 観測データの接続"

#: R\mmf.b.R
msgid "*connection of a variable's missingness indicator"
msgstr "*欠損値指標の接続"

#: R\mout.b.R R\mui.b.R
msgid ""
"*p<0.05 - The hypothesis of normal distribution was rejected by the Shapiro-"
"Wilk test"
msgstr ""
"*p<0.05 ― シャピロ・ウィルク検定により、正規分布であるという仮説は棄却されま"
"した"

#: R\mmf.b.R
msgid "*pairwise complete observations"
msgstr "*ペアごとの完全な観測値"

#: mPWR/results/powerTable.columns.title
msgid "&alpha;"
msgstr "&alpha;"

#: mPWR/options/alpha.title mPWR/ui[1]/alpha.label
msgid "&alpha; (type I error rate)"
msgstr "&alpha; (タイプＩエラー率)"

#: mCOR/ui[4][0]/tables/ci/ciWidth.suffix mROC/ui[1]/ciAUC/ciWidth.suffix
msgid "%"
msgstr "%"

#: mCOR/options/signif/0.001.title
msgid "< 0.001"
msgstr "< 0.001"

#: mCOR/options/signif/0.01.title
msgid "< 0.01"
msgstr "< 0.01"

#: mCOR/options/signif/0.05.title
msgid "< 0.05"
msgstr "< 0.05"

#: mCOR/options/signif/0.1.title
msgid "< 0.1"
msgstr "< 0.1"

#: R\mmf.b.R
msgid "<h2>Help</h2><div>Please select complete and incomplete variables</div>"
msgstr "<h2>ヘルプ</h2><div>完全変数と不完全変数を選択してください</div>"

#: mMF/ui[1][0][1]/patplot/npat.suffix
msgid "0 - auto"
msgstr "0 − 自動"

#: mUI/ui[0][1]/refval.label
msgid "0 ="
msgstr "0 ="

#: mPWR/options/alpha/0.001.title
msgid "0.001"
msgstr "0.001"

#: mPWR/options/alpha/0.01.title
msgid "0.01"
msgstr "0.01"

#: mPWR/options/alpha/0.05.title
msgid "0.05"
msgstr "0.05"

#: mPWR/options/alpha/0.1.title
msgid "0.1"
msgstr "0.1"

#: R\mroc.b.R
msgid "1 - Specificity"
msgstr "1 − 特異度"

#: mOUT/options/fence/1.5.title
msgid "1.5"
msgstr "1.5"

#: R\mroc.b.R
msgid "100 - Specificity (%)"
msgstr "100 − 特異度 (%)"

#: mOUT/options/tholdZS/2.0.title mOUT/options/tholdmZS/2.0.title
msgid "2.0"
msgstr "2.0"

#: mOUT/options/fence/2.2.title
msgid "2.2"
msgstr "2.2"

#: mOUT/options/tholdZS/2.5.title mOUT/options/tholdmZS/2.5.title
msgid "2.5"
msgstr "2.5"

#: mOUT/options/fence/3.0.title mOUT/options/tholdmZS/3.0.title
msgid "3.0"
msgstr "3.0"

#: mOUT/options/tholdZS/3.0.title
msgid "3.0 (standard)"
msgstr "3.0 （標準）"

#: mOUT/options/tholdZS/3.5.title
msgid "3.5"
msgstr "3.5"

#: mOUT/options/tholdmZS/3.5.title
msgid "3.5 (standard)"
msgstr "3.5（標準）"

#: mOUT/options/tholdZS/4.0.title mOUT/options/tholdmZS/4.0.title
msgid "4.0"
msgstr "4.0"

#: mOUT/options/tholdZS/4.5.title mOUT/options/tholdmZS/4.5.title
msgid "4.5"
msgstr "4.5"

#: mOUT/options/tholdZS/5.0.title mOUT/options/tholdmZS/5.0.title
msgid "5.0"
msgstr "5.0"

#: mCOR/results/matrix.description
msgid "a correlation matrix table"
msgstr "相関行列"

#: package/analyses/mPWR.title package/analyses/mPWR.menuTitle
#: mPWR/options.title mPWR/ui.title mPWR/results.title
msgid "A Priori Power Analysis"
msgstr "アプリオリ・パワー分析"

#: mPWR/results/powerTable.title
msgid "A Priori Power Analysis Results"
msgstr "アプリオリ・パワー分析結果"

#: mROC/options/palBrewer/Accent.title
msgid "Accent"
msgstr "アクセント"

#: mCOR/options/clustMet.title
msgid "Agglomeration method"
msgstr "集塊法"

#: mMF/options/alg.title
msgid "Algorythm"
msgstr "アルゴリズム"

#: mCOR/options/signif/all.title
msgid "All"
msgstr "すべて"

#: mCOR/options/plotOrder/alphabet.title
msgid "Alphabetical"
msgstr "アルファベット順"

#: mPWR/results/powerTable.columns.title
msgid "Alternative"
msgstr ""

#: mMF/results/estim/fMARtab.description
msgid "an array of MARs"
msgstr "MARの配列"

#: mCOR/options/plotOrder/AOE.title
msgid "Angular order eigenvectors"
msgstr "角順序固有ベクトル"

#: mCOR/options/clustMet/average.title
msgid "Average Linkage (UPGMA)"
msgstr "平均連結法（UPGMA）"

#: R\mui.b.R
msgid "Balance"
msgstr "バランス"

#: R\mui.b.R
msgid ""
"Balance - balance between correct and incorrect classified (TP+TN)/(FP+FN)"
msgstr "バランス　正・誤分類のバランス (TP+TN)/(FP+FN)"

#: package/datasets/BC Models ROC Estimation.name
msgid "BC Models ROC Estimation"
msgstr "BCモデルROC推定"

#: package/datasets/BC ROC classification.name
msgid "BC ROC classification"
msgstr "BC ROC分類"

#: mCOR/options/adjust/BH.title
msgid "Benjamini-Hochberg (1995)"
msgstr "Benjamini-Hochberg (1995)"

#: mCOR/options/adjust/BY.title
msgid "Benjamini-Yekutieli (2001)"
msgstr "Benjamini-Yekutieli (2001)"

#: mUI/options/model/binormal.title
msgid "Binormal"
msgstr "二変量正規分布"

#: mROC/options/BW.title
msgid "Black & White"
msgstr "モノクロ"

#: package/datasets/BC ROC classification.description
msgid "Blood cells multiple ROC Classification demonstration"
msgstr "血球のマルチROC分類デモ"

#: mCOR/options/adjust/bonferroni.title
msgid "Bonferroni (1961)"
msgstr "Bonferroni (1961)"

#: mCOR/options/clPos/b.title
msgid "Bottom"
msgstr "下"

#: mOUT/options/boxpl.title mOUT/results/plots.title
msgid "Boxplots with outliers"
msgstr "外れ値つき箱ひげ図"

#: mROC/options/palBrewer.title
msgid "Brewer's qualitative palette"
msgstr "カラーパレット"

#: mOUT/results/stat/outstat.description
msgid "Calculated fences for outliers"
msgstr "外れ値のフェンス"

#: R\mpwr.b.R
msgid "Calculated parameter: "
msgstr "計算済パラメタ "

#: R\mpwr.b.R
msgid "Calculation error:"
msgstr "計算エラー："

#: R\mui.b.R
msgid ""
"CCR - Correct Classification Rate or accuracy of the positive and negative "
"classifications (TP+TN)/(TN+FP+FN+TP)"
msgstr "CCR 　正答率、または陽性・陰性の分類精度 (TP+TN)/(TN+FP+FN+TP)"

#: mCOR/options/clustMet/centroid.title
msgid "Centroid Linkage (UPGMC)"
msgstr "重心連結法（UPGMC）"

#: package/datasets/CHD Models ROC Estimation.name
msgid "CHD Models ROC Estimation"
msgstr "CHDモデルのROC推定"

#: mCOR/results/matrix.columns.content
msgid "CI Lower"
msgstr "信頼区間下限"

#: mROC/options/ciMark.title
msgid "CI Mark"
msgstr "信頼区間マーク"

#: mCOR/results/matrix.columns.content
msgid "CI Upper"
msgstr "信頼区間上限"

#: mROC/options/ciWidth.title
msgid "CI width"
msgstr "信頼区間幅"

#: mCOR/options/plotMetU/circle.title mCOR/options/plotMetL/circle.title
msgid "Circle"
msgstr "円"

#: mMF/results/estim/mars.title
msgid "Classify missing at random (MAR)"
msgstr "無作為欠損（MAR）分類"

#: mMF/results/estim/mcar.title
msgid "Classify missing completely at random (MCAR)"
msgstr "完全無作為欠損（MCAR）分類"

#: mROC/options/class.title mROC/ui[0][1].label mUI/options/ref.title
#: mUI/ui[0][1].label
msgid "Classifying variable"
msgstr "分類変数"

#: mROC/options/theBest/bestC.title
msgid "Closest Best"
msgstr "左上隅から距離最短"

#: mROC/options/theBest/bssC.title
msgid "Closest Best (Sp, Se)"
msgstr "左上隅から距離最短（特異度・感度）"

#: mCOR/options/numClust.title
msgid "Clusters"
msgstr "クラスタ"

#: mCOR/options/plotMetU/color.title mCOR/options/plotMetL/color.title
msgid "Color"
msgstr "色"

#: mCOR/options/clustCol.title
msgid "Colored Clusters"
msgstr "色分け"

#: mCOR/options/clustMet/complete.title
msgid "Complete Linkage"
msgstr "完全連結"

#: mMF/options/learnvar.title mMF/ui[0][1].label
msgid "Complete Variables"
msgstr "完全変数"

#: mMF/options/compinres.title
msgid "Complete variables in plots"
msgstr "完全変数をプロット"

#: R\mui.b.R
msgid "Concordance"
msgstr "適合指数"

#: R\mui.b.R
msgid ""
"Concordance - C-Statistic or AUC. The probability that a random chosen "
"patient with the condition is correctly ranked higher than a randomly chosen "
"patient without the condition"
msgstr ""
"適合指数　C統計量またはAUC。ランダムに選ばれた疾患を持つ患者が、ランダムに選"
"ばれた疾患を持たない患者よりも正しく高い順位にランクされる確率"

#: mROC/results/text.title
msgid "Conditions"
msgstr "条件"

#: mROC/options/ciAUC.title mROC/ui[1]/ciAUC.label
msgid "Confidence interval"
msgstr "信頼区間"

#: mCOR/options/ci.title mCOR/ui[4][0]/tables/ci.label
msgid "Confidence interval (Pearson only)"
msgstr "信頼区間（ピアソンのみ）"

#: mCOR/options/ciWidth.title
msgid "Confidence interval width"
msgstr "信頼区間幅"

#: mCOR/options/hyp/corr.title
msgid "Correlated"
msgstr "相関あり"

#: mCOR/options/hyp/neg.title
msgid "Correlated negatively"
msgstr "負の相関あり"

#: mCOR/options/hyp/pos.title
msgid "Correlated positively"
msgstr "正の相関あり"

#: mCOR/options/vars.title mCOR/ui[0][0].label
msgid "Correlating Variables"
msgstr "相関変数"

#: R\mmf.b.R
msgid "Correlation"
msgstr "相関"

#: package/analyses/mCOR.title package/analyses/mCOR.menuTitle
#: package/datasets/Correlation clustering.name mCOR/options.title
#: mCOR/ui.title mCOR/results.title
msgid "Correlation clustering"
msgstr "相関クラスタリング"

#: package/datasets/Correlation clustering.description
msgid "Correlation Clustering demonstration"
msgstr "相関クラスタリングのデモ"

#: mCOR/options/tables.title mCOR/options/plots.title mCOR/results/matrix.title
#: mCOR/results/plot.title
msgid "Correlation matrix"
msgstr "相関行列"

#: mCOR/results/text.title
msgid "Correlations"
msgstr "相関"

#: mMF/results/estim/cplot.title
msgid "Correlations between variables"
msgstr "変数間の相関"

#: mMF/results/estim/mcar.columns.title
msgid "D²"
msgstr "D²"

#: mROC/options/palBrewer/Dark2.title
msgid "Dark2"
msgstr "ダーク2"

#: R\mui.b.R
msgid "decision"
msgstr "判断"

#: mMF/results/estim/mcar.columns.title
msgid "Degree of Freedom (df)"
msgstr "自由度 (df)"

#: mPWR/options/design.title
msgid "Design"
msgstr "デザイン"

#: R\mpwr.b.R
msgid "Design: "
msgstr "デザイン： "

#: mUI/options/UImethod/noUI.title
msgid "Dichotomization (no uncertainty)"
msgstr "二分法（不確実性なし）"

#: mROC/options/direction.title mUI/results/stat/uistat.columns.title
msgid "Direction"
msgstr "向き"

#: mUI/options/model.title
msgid "Distribution model"
msgstr "分布モデル"

#: mROC/options/dotline.title
msgid "Dotted line"
msgstr "点線"

#: mPWR/options/calc/es.title
msgid "Effect size"
msgstr "効果量"

#: R\mpwr.b.R mPWR/results/powerTable.columns.title
msgid "Effect Size"
msgstr "効果量"

#: R\mpwr.b.R
msgid "Effect size measure: Cohen's d"
msgstr "効果量指標：コーエンのd"

#: R\mpwr.b.R
msgid "Effect size measure: correlation coefficient (r)"
msgstr "効果量指標：相関係数 (r)"

#: mCOR/options/plotMetU/ellipse.title mCOR/options/plotMetL/ellipse.title
msgid "Ellipse"
msgstr "楕円"

#: R\mmf.b.R
msgid "Empty data table"
msgstr "空のデータテーブル"

#: mCOR/options/plotMetU/empty.title mCOR/options/plotMetL/empty.title
msgid "Emtpy"
msgstr "空白"

#: mMF/results/imput/errors.title
msgid "Estimated out-of-bag (OOB) imputation error"
msgstr "推定OOB補完誤差"

#: mMF/options/fullmars.title mMF/results/estim/fMARtab.title
msgid "Evaluation of MAR explainers"
msgstr "MAR説明モデルの評価"

#: mMF/results/estim/mars.columns.title
#: mMF/results/estim/fMARtab.template.columns.title
msgid "Explanatory"
msgstr "説明変数"

#: R\mmf.b.R
msgid ""
"Explanatory - variable corresponding to MAR with minimal p<sub>value</sub>."
msgstr "説明変数　最小のp<sub>値</sub> をもつMARに対応する変数です。"

#: mCOR/options/plotOrder/FPC.title
msgid "First principal component"
msgstr "第1主成分"

#: mCOR/options/flag.title
msgid "Flag significant correlations"
msgstr "有意な相関に印"

#: package.description
msgid ""
"Graphic extensions of the functionality of popular data analysis methods: "
"cluster tree of correlating variables, multifactor adaptive correlation "
"matrix, multidimensional ROC classification curves, missing data estimation "
"and imputation, outliers identificatioon and removal etc."
msgstr ""
"代表的なデータ分析手法の機能を拡張するグラフィック機能：相関変数のクラスター"
"ツリー、多因子適応型相関行列、多次元ROC分類曲線、欠損データの推定および補完、"
"外れ値の特定と除去など。"

#: R\mout.b.R
msgid "Group"
msgstr "グループ"

#: mCOR/options/group.title mCOR/ui[0][1].label mOUT/options/group.title
#: mOUT/ui[0][1].label mROC/options/groups.title mROC/ui[0][2].label
msgid "Grouping Variable"
msgstr "グループ変数"

#: R\mcor.b.R
msgid "Hₐ is negative correlation"
msgstr "対立仮説は負の相関"

#: R\mcor.b.R
msgid "Hₐ is positive correlation"
msgstr "対立仮説は正の相関"

#: package/datasets/HI ROC classification.description
msgid "Healthy/Ill ROC Classification demonstration"
msgstr "健常／病者ROC分類デモ"

#: package/datasets/HI ROC classification.name
msgid "HI ROC classification"
msgstr "健常／疾患ROC分類"

#: mCOR/options/hclust.title
msgid "Hierarchical clustering"
msgstr "階層的クラスタリング"

#: mCOR/results/treeplot.title
msgid "Hierarchical clustering tree"
msgstr "階層的クラスタリングツリー"

#: mCOR/options/adjust/hochberg.title
msgid "Hochberg (1988)"
msgstr "Hochberg (1988)"

#: mCOR/options/adjust/holm.title
msgid "Holm (1979)"
msgstr "Holm (1979)"

#: mCOR/options/adjust/hommel.title
msgid "Hommel (1988)"
msgstr "Hommel (1988)"

#: mCOR/options/hyp.title
msgid "Hypothesis"
msgstr "仮説"

#: package/datasets/Outliers identification and removal.description
msgid "Identification, analysis and removal of data outliers by groups"
msgstr "グループ別の外れ値の同定、分析および除去"

#: R\mmf.b.R
msgid ""
"If at least one p<sub>value</sub> MAR is not significant, and the "
"p<sub>value</sub> in MCAR is significant then the data is MNAR (Missing Not "
"At Random)."
msgstr ""
"少なくとも1つのMARのp<sub>値</sub> が有意でなく、かつMCARのp<sub>値</sub> が"
"有意である場合、そのデータはMNAR（非無作為欠損）となります。"

#: R\mmf.b.R
msgid "imp"
msgstr "補完"

#: R\mmf.b.R
msgid "Imputation model predictor"
msgstr "補完モデル予測変数"

#: mMF/results/imputeOV.title
msgid "Imputed misses"
msgstr "補完済欠損値"

#: mROC/options/perc.title
msgid "In percent"
msgstr "パーセント表示"

#: mMF/options/imputevar.title mMF/ui[0][0].label
msgid "Incomplete Variables"
msgstr "欠損変数"

#: R\mpwr.b.R mPWR/options/design/independent.title
msgid "Independent Samples (Student)"
msgstr "独立標本（スチューデント）"

#: R\mpwr.b.R mPWR/options/design/welch.title
msgid "Independent Samples (Welch)"
msgstr "独立標本（ウェルチ）"

#: R\mpwr.b.R mPWR/options/design/independent_np.title
msgid "Independent Samples (Wilcoxon)"
msgstr "独立標本（ウィルコクソン）"

#: R\mout.b.R
msgid "Indices (Rows)"
msgstr "インデックス（行）"

#: mMF/results/estim/fplot.title
msgid "Influx-outflux plot"
msgstr "流入・流出プロット"

#: mMF/options/fluxplot.title
msgid "Influx-outflux plot for missing data patterns"
msgstr "欠損パターンの流入・流出プロット"

#: R\mmf.b.R
msgid "Influx*"
msgstr "流入*"

#: mCOR/options/clustMat.title mCOR/results/rplots.title
msgid "Intercluster Matrices"
msgstr "クラスター間行列"

#: R\mui.b.R mUI/results/stat/uistat.columns.title
msgid "Intersection"
msgstr "交差"

#: mCOR/ui[4][0]/tables/ci/ciWidth.label mROC/ui[1]/ciAUC/ciWidth.label
msgid "Interval"
msgstr "間隔"

#: mUI/options/UImethod.title
msgid "Interval determination method"
msgstr "区間決定法"

#: mUI/ui[1].label mUI/results/stat.title
msgid "Intervals Estimation"
msgstr "区間推定"

#: mOUT/options/fence.title
msgid "IQR fence height"
msgstr "IQRフェンスの高さ"

#: mOUT/options/outlcheck/IQR.title
msgid "IQR Tukey's fences"
msgstr "IQRテューキーのフェンス"

#: package/analyses/mCOR.menuGroup package/analyses/mROC.menuGroup
#: package/analyses/mMF.menuGroup package/analyses/mOUT.menuGroup
#: package/analyses/mUI.menuGroup package/analyses/mPWR.menuGroup
#: mCOR/options.menuGroup mMF/options.menuGroup mOUT/options.menuGroup
#: mPWR/options.menuGroup mROC/options.menuGroup mUI/options.menuGroup
msgid "jYS"
msgstr "jYS"

#: package.title
msgid "jYS Extended Functions"
msgstr "jYS拡張機能"

#: mCOR/options/method/kendall.title
msgid "Kendall (τ)"
msgstr "ケンドール (τ)"

#: mCOR/results/matrix.columns.title mCOR/results/matrix.columns.content
msgid "Kendall Tau"
msgstr "ケンドールのタウ"

#: mROC/options/legacy.title
msgid "Legacy format of Specificity axis"
msgstr "従来形式の特異度軸"

#: mROC/options/legBox.title
msgid "Legend Box"
msgstr "凡例枠"

#: mUI/results/stat/intstat.columns.title
msgid "Level"
msgstr "レベル"

#: mROC/options/lwd.title
msgid "Line width"
msgstr "線幅"

#: mPWR/results/text.title
msgid "Log / Errors"
msgstr ""

#: R\mout.b.R
msgid "Lower fence"
msgstr "フェンス下限"

#: mCOR/options/plotMetL.title
msgid "Lower part"
msgstr "下部"

#: R\mui.b.R
msgid "Lower threshold"
msgstr "下限値"

#: R\mui.b.R
msgid ""
"LR- - Negative Likelihood Ratio P(-|D+))/(P(-|D-)). The probability of a "
"person with the condition receiving a negative classification / probability "
"of a person without the condition receiving a negative classification"
msgstr ""
"LR-（陰性尤度比） P(−｜D+) / P(−｜D−)　状態（疾患など）を有する人が「陰性」と"
"判定される確率を、状態を有さない人が「陰性」と判定される確率で割った値"

#: R\mui.b.R
msgid ""
"LR+ - Positive Likelihood Ratio (P(+|D+))/(P(+|D-)) The probability of a "
"person with the condition receiving a positive classification / probability "
"of a person without the condition receiving a positive classification"
msgstr ""
"LR+（陽性尤度比） P(+｜D+) / P(+｜D−)　状態（疾患など）を有する人が「陽性」と"
"判定される確率を、状態を有さない人が「陽性」と判定される確率で割った値"

#: mCOR/options/clustMan.title
msgid "Manual Clusters"
msgstr "手動クラスタ"

#: R\mmf.b.R
msgid ""
"MAR - missing at random (if each p<sub>value</sub> is significant, there is "
"evidence the data is MAR);"
msgstr ""
"MAR　すべてのp<sub>値</sub> が有意であれば、データがMAR（無作為欠損）である証"
"拠となります。"

#: mMF/results/estim/mcar.description mMF/results/estim/mars.description
msgid "MAR classification table"
msgstr "MAR分類表"

#: mROC/options/mAst.title
msgid "Mark significance *<0.05, **<0.01, ***<0.001"
msgstr "有意なものに印 *<0.05, **<0.01, ***<0.001"

#: R\mcor.b.R
msgid "Matrix #{i}"
msgstr "行列 #{i}"

#: mMF/options/maxiter.title
msgid "Maximum number of iterations"
msgstr "反復回数上限"

#: mMF/results/estim/mcar.columns.content
msgid "MCAR"
msgstr "MCAR"

#: R\mmf.b.R
msgid ""
"MCAR - missing completely at random (if the p<sub>value</sub> is not "
"significant, there is evidence the data is MCAR)."
msgstr ""
"MCAR　p<sub>値</sub> が有意でない場合、データがMCAR（完全無作為欠損）である証"
"拠となります。"

#: mMF/options/isMAR.title
msgid ""
"MCAR (Missing Completely at Random) and MAR (Missing at Random) estimation"
msgstr "MCAR（完全無作為欠損）およびMAR（無作為欠損）推定"

#: R\mui.b.R
msgid "MCI=0 ("
msgstr "MCI=0 ("

#: R\mui.b.R
msgid "MCI=1 ("
msgstr "MCI=1 ("

#: mCOR/options/clustMet/mcquitty.title
msgid "McQuitty Linkage (WPGMA)"
msgstr "マクイッティ連結法（WPGMA）"

#: R\mout.b.R
msgid "Mean"
msgstr "平均値"

#: R\mout.b.R
msgid "Median"
msgstr "中央値"

#: mCOR/options/clustMet/median.title
msgid "Median Linkage"
msgstr "中央値連結法"

#: mCOR/options/method.title mOUT/ui[1][0].label mUI/ui[1][3].label
msgid "Method"
msgstr "方法"

#: mPWR/options/es.title mPWR/ui[1]/es.label
msgid "Minimally-interesting effect size"
msgstr "最小関心効果量"

#: R\mmf.b.R
msgid "Minimum {minVar} variables (Complete + Incomplete) are required"
msgstr "最低でも {minVar} 個の変数（完全変数＋欠損変数）が必要です"

#: R\mmf.b.R
msgid "Minimum 2 impute variables are required"
msgstr "最低でも2つの補完変数が必要です"

#: mPWR/options/power.title mPWR/ui[1]/power.label
msgid "Minimum desired power"
msgstr "最小希望検出力"

#: mMF/options/alg/mF.title
msgid "missForest (2012)"
msgstr "missForest (2012)"

#: R\mmf.b.R
msgid "missing"
msgstr "欠損"

#: mMF/results/estim/plot.title
msgid "Missing data patterns"
msgstr "欠損値パターン"

#: mMF/results/estim/mcar.columns.title
msgid "Missing Patterns"
msgstr "欠損パターン"

#: mMF/ui[1].label mMF/results/estim.title
msgid "Missing Values Estimation"
msgstr "欠損値推定"

#: package/analyses/mMF.title package/analyses/mMF.menuTitle mMF/options.title
#: mMF/ui.title mMF/results.title
msgid "Missing Values Estimation and Imputation"
msgstr "欠損値推定・補完"

#: package/datasets/Missing Values Imputation.name mMF/ui[2].label
#: mMF/results/imput.title
msgid "Missing Values Imputation"
msgstr "欠損値補完"

#: package/datasets/Missing Values Imputation.description
msgid "Missing values imputation using the prediction power of Random Forests"
msgstr "ランダムフォレストによる欠損値補完"

#: mMF/options/alg/mR.title
msgid "missRanger (2021)"
msgstr "missRanger (2021)"

#: mUI/options/isMD.title mUI/results/plotsMD.title
msgid "Mixed Densities"
msgstr "混合密度"

#: mOUT/options/outlcheck/mZS.title
msgid "Modified Z-score (Hampel filter)"
msgstr "修正Z得点（ハンペル・フィルター）"

#: mUI/options/isMCI.title mUI/results/stat/mcistat.title
msgid "More Certain Interval (MCI)"
msgstr "より確実な区間（MCI）"

#: R\mui.b.R
msgid ""
"More Certain Interval (MCI) is interval outside the Uncertain Interval and "
"divide into low and high parts."
msgstr ""
"より確実な区間（MCI）は、不確実な区間（Uncertain Interval）の外側にあり、低い"
"部分と高い部分を分割する区間を指します。"

#: R\mmf.b.R
msgid "MSE - mean squared error (for Continuous variables);"
msgstr "MSE　平均二乗誤差（連続変数用）"

#: mCOR/options/adjust.title
msgid "Multiple comparison correction"
msgstr "多重比較補正"

#: mMF/options/imputeOV.title
msgid "Multiple imputation for missing data"
msgstr "欠損値の多重補完"

#: mCOR/options/n.title mCOR/results/matrix.columns.content
#: mMF/results/estim/mars.columns.title mMF/results/imput/errors.columns.title
msgid "N"
msgstr "N"

#: R\mmf.b.R
msgid "N - number of imputted values;"
msgstr "N　補完値の個数"

#: R\mmf.b.R
msgid "N - number of missing values;"
msgstr "N　欠損値の個数"

#: R\mpwr.b.R mPWR/results/nEsCurve.title
msgid "N by Effect Size"
msgstr "効果量ごとのN"

#: mPWR/options/n_es_curve.title
#, fuzzy
msgid "N by Effect Size Curve"
msgstr "効果量ごとのN曲線"

#: mPWR/ui[1]/n.label
msgid "N for group 1"
msgstr "グループ1のN"

#: mPWR/options/calc/n.title
msgid "N per group"
msgstr "グループごとのN"

#: mPWR/options/n.title
msgid "N per group (or pairs/sample)"
msgstr "グループ（またはペア/サンプル）ごとのN"

#: mPWR/results/powerTable.columns.title
msgid "N1"
msgstr "N1"

#: mPWR/results/powerTable.columns.title
msgid "N2"
msgstr "N2"

#: mUI/options/model/none.title
msgid "Non-parametric"
msgstr "ノンパラメトリック"

#: mCOR/options/adjust/none.title mCOR/options/clPos/n.title
#: mROC/options/theBest/none.title mROC/options/cmpDeLong/none.title
#: mROC/options/palBrewer/none.title
msgid "None"
msgstr "なし"

#: R\mout.b.R
msgid "Normality p-value"
msgstr "正規性 p値"

#: R\mui.b.R
msgid "NPV - Negative Predictive Value of the negative class TN/(TN+FN)"
msgstr ""
"陰性予測値 (NPV)　陰性と予測された場合に、それが実際に陰性である確率 TN/"
"(TN+FN)"

#: mCOR/options/plotMetU/number.title mCOR/options/plotMetL/number.title
msgid "Number"
msgstr "数値"

#: mMF/options/pmmk.description.ui
msgid ""
"Number of candidate non-missing values to sample from in the predictive mean "
"matching steps. 0 to avoid this step"
msgstr ""
"予測平均マッチング法でサンプリングする候補の非欠損値の個数（0にするとこの手順"
"はスキップされます）"

#: R\mmf.b.R
msgid "Number of missing entries"
msgstr "欠損値数"

#: R\mmf.b.R
msgid "Number of missing entries per variable"
msgstr "変数ごとの欠損値数"

#: mMF/options/npat.title
msgid "Number of patterns"
msgstr "パターン数"

#: mMF/options/ntree.title
msgid "Number of trees to grow in each forest"
msgstr "各フォレストで生成する木の数"

#: R\mmf.b.R
msgid "observed"
msgstr "観測値"

#: R\mpwr.b.R mPWR/options/design/one.sample.title
msgid "One Sample (Student)"
msgstr "1標本（スチューデント）"

#: R\mpwr.b.R mPWR/options/design/one.sample_np.title
msgid "One Sample (Wilcoxon)"
msgstr "1標本（ウィルコクソン）"

#: R\mpwr.b.R mPWR/options/design/onecor.title
msgid "One Sample Correlation (Pearson)"
msgstr "1標本相関（ピアソン）"

#: R\mpwr.b.R mPWR/options/design/onecor_np.title
msgid "One Sample Correlation (Spearman)"
msgstr "1標本相関（スピアマン）"

#: R\mpwr.b.R mPWR/ui[1]/alt/one.sided.title
msgid "one-tailed"
msgstr "片側"

#: mMF/results/imput/errors.description
msgid "OOB errors table"
msgstr "OOB誤差表"

#: mCOR/options/plotOrder/original.title
msgid "Original"
msgstr "オリジナル"

#: R\mmf.b.R
msgid "OutFlux**"
msgstr "流出**"

#: R\mout.b.R
msgid "outl"
msgstr "除去済"

#: mOUT/options/outfence.title mOUT/results/stat/outstat.title
msgid "Outliers fences"
msgstr "外れ値のフェンス"

#: R\mout.b.R
msgid "Outliers found"
msgstr "見つかった外れ値"

#: mOUT/ui[1].label mOUT/results/stat.title
msgid "Outliers identification"
msgstr "外れ値の同定"

#: package/datasets/Outliers identification and removal.name
msgid "Outliers identification and removal"
msgstr "外れ値の同定と除去"

#: mOUT/options/outlcheck.title
msgid "Outliers identifying method"
msgstr "外れ値の同定法"

#: mOUT/options/outind.title mOUT/results/oind.title
msgid "Outliers indices"
msgstr "外れ値のインデックス"

#: mOUT/ui[2].label
msgid "Outliers removal"
msgstr "外れ値の除去"

#: mOUT/ui[1][1].label
msgid "Output information"
msgstr "出力情報"

#: mCOR/options/pval.title mCOR/results/matrix.columns.content
msgid "p-value"
msgstr "p値"

#: mMF/results/estim/mcar.columns.title mMF/results/estim/mars.columns.title
#: mMF/results/estim/fMARtab.template.columns.title
msgid "p<sub>value</sub>"
msgstr "p<sub>値</sub>"

#: mROC/options/palBrewer/Paired.title
msgid "Paired"
msgstr "ペア"

#: R\mpwr.b.R mPWR/options/design/paired.title
msgid "Paired Samples (Student)"
msgstr "対応あり（スチューデント）"

#: R\mpwr.b.R mPWR/options/design/paired_np.title
msgid "Paired Samples (Wilcoxon)"
msgstr "対応あり（ウィルコクソン）"

#: mROC/options/palBrewer/Pastel1.title
msgid "Pastel1"
msgstr "パステル1"

#: R\mmf.b.R
msgid "Pattern frequency"
msgstr "パターン頻度"

#: mCOR/options/method/pearson.title
msgid "Pearson (r)"
msgstr "ピアソン (r)"

#: R\mcor.b.R
msgid "Pearson correlation cannot be calculated for non-numeric values"
msgstr "非数値データではピアソン相関を計算できません"

#: mCOR/results/matrix.columns.title mCOR/results/matrix.columns.content
msgid "Pearson's r"
msgstr "ピアソンのr"

#: R\mmf.b.R
msgid "per pattern"
msgstr "パターンごと"

#: mMF/results/imput/errors.columns.title
msgid "PFC"
msgstr "誤分類率"

#: R\mmf.b.R
msgid ""
"PFC - proportion of falsely classified (for Nominal and Ordinal variables);"
msgstr "誤分類率（PFC）　名義変数および順序変数で誤分類された値の割合"

#: mCOR/options/plotMetU/pie.title mCOR/options/plotMetL/pie.title
msgid "Pie"
msgstr "円グラフ"

#: mUI/options/isTGR.title
msgid "Plot"
msgstr "プロット"

#: mMF/options/corplot.title
msgid "Plot correlations between variables"
msgstr "変数間の相関を図示"

#: mMF/ui[1][0][2].label
msgid "Plot options"
msgstr "作図オプション"

#: mMF/options/patplot.title
msgid "Plot the missing data patterns"
msgstr "欠損パターンを図示"

#: mCOR/ui[5].label mMF/ui[1][0][1].label mPWR/ui[2].label mUI/ui[1][4].label
msgid "Plots"
msgstr "プロット"

#: mROC/options/polygon.title
msgid "Polygon"
msgstr "ポリゴン"

#: R\mpwr.b.R mPWR/options/calc/power.title
#: mPWR/results/powerTable.columns.title
msgid "Power"
msgstr "検出力"

#: R\mpwr.b.R mPWR/results/powerEsCurve.title
msgid "Power by Effect Size"
msgstr "効果量ごとの検出力"

#: mPWR/options/power_es_curve.title
#, fuzzy
msgid "Power by Effect Size Curve"
msgstr "効果量曲線ごとの検出力"

#: R\mpwr.b.R
msgid ""
"Power calculation for Spearman's correlation is a penalized asymptotic "
"approximation based on Fisher's Z-transformation (ARE = 0.912)."
msgstr ""

#: R\mpwr.b.R mPWR/results/powerCurve.title
msgid "Power Curve"
msgstr ""

#: mPWR/options/power_curve.title
msgid "Power Curve (Power by N)"
msgstr ""

#: R\mui.b.R
msgid "PPV - Positive Predictive Value of the positive class TP/(TN+FN)"
msgstr ""
"陽性予測値 (PPV)　陽性と予測された場合に、それが実際に陽性である確率 TP/"
"(TN+FN)"

#: mMF/options/pmmk.title
msgid "Predictive Mean Matching (PMM) steps"
msgstr "予測平均マッチング（PMM）のステップ"

#: mUI/results/stat/uistat.columns.title mUI/results/stat/mcistat.columns.title
#: mUI/results/stat/intstat.columns.title
msgid "Predictor"
msgstr "予測変数"

#: mROC/options/vars.title mROC/ui[0][0].label mUI/options/test.title
#: mUI/ui[0][0].label
msgid "Predictors"
msgstr "予測変数"

#: R\mui.b.R
msgid "Prevalence"
msgstr "有病率"

#: mUI/options/isProp.title mUI/results/stat/intstat.title
msgid "Proportions of Intervals"
msgstr "区間の割合"

#: mUI/options/decision.title mUI/results/decision.title
msgid "Proposed decision"
msgstr "決定案"

#: mCOR/options/plots.description.ui
msgid "provide a correlation matrix plot."
msgstr "相関行列の図を作成します。"

#: mPWR/options/calc.title
msgid "Purpose of Calculation"
msgstr ""

#: R\mmf.b.R
msgid ""
"PVU - proportion of variance unexplained 1-R² (for Continuous variables);"
msgstr "PVU（未説明分散比率）　連続変数に対する未説明な分散の割合（1−R²）"

#: mUI/options/refval.title
msgid "Reference level"
msgstr "基準レベル"

#: mPWR/ui[1]/n_ratio.label
msgid "Relative size of group 2 to group 1"
msgstr ""

#: mOUT/options/remOut.title mOUT/results/remOut.title
msgid "Remove outliers"
msgstr "外れ値を除去"

#: mCOR/options/plotOrder.title
msgid "Reorder"
msgstr "並べ替え"

#: mMF/options/setseed.title
msgid "Reproducible random number generation (RNG) results"
msgstr "再現可能な乱数生成（RNG）の結果"

#: mCOR/options/clPos/r.title
msgid "Right"
msgstr "右"

#: mMF/options/seed.title
msgid "RNG seed value"
msgstr "乱数シード値"

#: mROC/options/sepROC.title mROC/results/plots.title
msgid "ROC by groups"
msgstr "グループ別ROC"

#: mROC/results/plot.title
msgid "ROC by predictors"
msgstr "予測変数別ROC"

#: package/analyses/mROC.title package/analyses/mROC.menuTitle
#: mROC/options.title mROC/ui.title mROC/results.title
msgid "ROC classification"
msgstr "ROC分類"

#: mROC/options/cmpDeLong.title
msgid "ROC comparison"
msgstr "ROC比較"

#: mUI/options/isROC.title mUI/results/plotsROC.title
msgid "ROC curves"
msgstr "ROC曲線"

#: package/datasets/BC Models ROC Estimation.description package/datasets/CHD
msgid "ROC estimation for binomial logistis models demonstration"
msgstr "二項ロジスティックモデルにおけるROC推定のデモ"

#: mROC/ui[1].label
msgid "ROC graphs"
msgstr "ROCグラフ"

#: R\mpwr.b.R
msgid "Sample Size (N)"
msgstr ""

#: R\mpwr.b.R
msgid "Sample Size (N1)"
msgstr ""

#: mPWR/options/n_ratio.title
msgid "Sample size ratio (N<sub>2</sub>/N<sub>1</sub>)"
msgstr ""

#: mUI/ui[2].label
msgid "Save"
msgstr "保存"

#: mCOR/options/clPos.title
msgid "Scale position"
msgstr "スケールの位置"

#: package/datasets/SDI ROC classification.name
msgid "SDI ROC classification"
msgstr "SDIのROC分類"

#: R\mui.b.R
msgid ""
"Se - sensitivity of the positive and negative classifications TP/(TP+FN)"
msgstr "感度 (Se)　陽性のものを正しく陽性と予測する割合 TP/(TP+FN)"

#: mCOR/options/selgroup.title mROC/options/selgroup.title
msgid "Select group"
msgstr "グループ選択"

#: R\mroc.b.R R\mui.b.R
msgid "Sensitivity"
msgstr "感度"

#: R\mroc.b.R
msgid "Sensitivity (%)"
msgstr "感度（％）"

#: mUI/options/uiSe.title
msgid "Sensitivity inside UI <"
msgstr "不確実区間内の感度"

#: mUI/options/minSe.title
msgid "Sensitivity outside UI >"
msgstr "不確実区間外の感度"

#: mROC/options/palBrewer/Set1.title
msgid "Set1"
msgstr "セット1"

#: mROC/options/palBrewer/Set2.title
msgid "Set2"
msgstr "セット2"

#: mROC/options/palBrewer/Set3.title
msgid "Set3"
msgstr "セット3"

#: mCOR/options/plotMetU/shade.title mCOR/options/plotMetL/shade.title
msgid "Shade"
msgstr "シェード"

#: mCOR/options/signif.title
msgid "Significance"
msgstr "有意性"

#: R\mcor.b.R
msgid "Simultaneous multiple correlation comparisons using {n} method"
msgstr "{n} 法による相関の同時多重比較"

#: mCOR/options/clustMet/single.title
msgid "Single Linkage"
msgstr "最短距離法"

#: mMF/options/anghead.title
msgid "Slanted Titles"
msgstr "タイトル斜め表示"

#: R\mui.b.R
msgid "SNPV - standardized negative predictive value of the negative class"
msgstr "SNPV　標準化陰性予測値"

#: R\mui.b.R
msgid ""
"Sp - specificity of the positive and negative classifications TN/(TN+FN)"
msgstr "特異度 (Sp)　陰性のものを正しく陰性と予測する割合 TN/(TN+FN)"

#: mCOR/options/method/spearman.title
msgid "Spearman (ρ)"
msgstr "スピアマン (ρ)"

#: mCOR/results/matrix.columns.title mCOR/results/matrix.columns.content
msgid "Spearman's Rho"
msgstr "スピアマンのロー"

#: R\mroc.b.R R\mui.b.R
msgid "Specificity"
msgstr "特異性"

#: R\mroc.b.R
msgid "Specificity (%)"
msgstr "特異性（％）"

#: mUI/options/uiSp.title
msgid "Specificity inside UI <"
msgstr "不確実区間内の特異度"

#: mUI/options/minSp.title
msgid "Specificity outside UI >"
msgstr "不確実区間外の特異度"

#: package/datasets/SDI ROC classification.description
msgid "Sperm Deformity Index ROC Classification demonstration"
msgstr "精子奇形指数のROC分類デモ"

#: mROC/options/splitROC.title
msgid "Split curves"
msgstr "曲線分割"

#: mROC/results/splots.title
msgid "Splitted ROC by predictors"
msgstr "予測変数別ROC曲線"

#: R\mui.b.R
msgid "SPPV - standardized positive predictive value of the positive class"
msgstr "SPPV　標準化陽性予測値"

#: mCOR/options/plotMetU/square.title mCOR/options/plotMetL/square.title
msgid "Square"
msgstr "四角"

#: mROC/options/cmpDeLong/succ.title
msgid "Successively"
msgstr "逐次的"

#: R\mui.b.R
msgid "Sum"
msgstr "合計"

#: mCOR/ui[4].label
msgid "Tables"
msgstr "表"

#: mPWR/options/alt.title mPWR/ui[1]/alt.label
msgid "Tails"
msgstr ""

#: mOUT/options/norm.title
msgid "Test for normality"
msgstr "正規性の検定"

#: R\mpwr.b.R
msgid "The 'pwrss' package is not installed. Please install it in R."
msgstr ""

#: mROC/options/theBest.title
msgid "The Best point on ROC"
msgstr "ROC曲線上の最適点"

#: R\mroc.b.R
msgid ""
"The classifying variable '{}' does not have exactly two levels; ROC "
"classification can only be performed on classifying variables with two "
"levels."
msgstr ""
"分類変数 '{}' のが2水準になっていません。ROC分類は、水準数が2の分類変数に対し"
"てのみ実行できます。"

#: package/datasets/Uncertain Interval (UI).description
msgid "Three-Way threshold determination in test results"
msgstr "テスト結果における3方向閾値決定"

#: mOUT/options/tholdZS.title mOUT/options/tholdmZS.title
msgid "Threshold for Z-score"
msgstr "Z得点の閾値"

#: R\mui.b.R mUI/options/youden.title
msgid "Threshold on Youden"
msgstr "ユーデン指数に基づく閾値"

#: R\mmf.b.R
msgid "Total number of missing entries {}"
msgstr "欠損値 {} の総数"

#: R\mpwr.b.R
msgid "two one-tailed"
msgstr ""

#: mUI/options/UImethod/TGR.title mUI/results/plotsTGR.title
msgid "Two-graph ROC curves"
msgstr "2つのROC曲線"

#: R\mpwr.b.R mPWR/ui[1]/alt/two.sided.title
msgid "two-tailed"
msgstr ""

#: mPWR/results/plot.title
msgid "Type 1 and Type 2 Error Plots"
msgstr ""

#: mPWR/options/plot_err.title
msgid "Type 1 and Type 2 error plots"
msgstr ""

#: R\mui.b.R
msgid "UI"
msgstr "不確実区間"

#: package/datasets/UI for binomial logistis models.name
msgid "UI for binomial logistis models"
msgstr "二項ロジスティックモデルのUI"

#: package/analyses/mUI.title package/analyses/mUI.menuTitle
#: package/datasets/Uncertain Interval (UI).name mUI/options.title
#: mUI/options/UImethod/UI.title mUI/ui.title mUI/results.title
#: mUI/results/stat/uistat.title
msgid "Uncertain Interval (UI)"
msgstr "不確実区間 (UI)"

#: R\mui.b.R
msgid ""
"Uncertain Interval (UI) is placed around the point of intersection between "
"the two distributions with and without the targeted state."
msgstr ""
"不確実な区間 (UI) は、標的状態（例：疾患）がある分布とない分布の交差点の周囲"
"に配置される区間です。"

#: package/datasets/UI for binomial logistis models.description
msgid "Uncertain Interval estimation for binomial logistis models"
msgstr "二項ロジスティックモデルにおける「不確実区間」の推定"

#: R\mui.b.R
msgid ""
"Uncertain Interval is considered to be a range of test scores that is "
"inconclusive and does not warrant a right decision."
msgstr ""
"不確実区間は、テストスコアの範囲で、結果が決定的でなく、適切な判断を下すこと"
"ができないと見なされる区間です。"

#: mUI/options/polygon.title
msgid "Uncertainty interval polygon"
msgstr "不確実区間のポリゴン"

#: package/analyses/mOUT.title package/analyses/mOUT.menuTitle
#: mOUT/options.title mOUT/ui.title mOUT/results.title
msgid "Univariate outliers identification and removal"
msgstr "単変量外れ値の特定と除去"

#: R\mout.b.R
msgid "Upper fence"
msgstr "フェンス上限"

#: mCOR/options/plotMetU.title
msgid "Upper part"
msgstr "上部"

#: R\mui.b.R
msgid "Upper threshold"
msgstr "上限値"

#: mPWR/results/powerTable.columns.superTitle
msgid "User Defined"
msgstr ""

#: mMF/results/estim/mars.columns.title mMF/results/imput/errors.columns.title
#: mOUT/results/stat/outstat.columns.title
msgid "Variable"
msgstr "変数"

#: mMF/results/estim/fMARtab.template.title
msgid "Variable - $key"
msgstr "変数 - $key"

#: R\mmf.b.R
msgid "Variable name"
msgstr "変数名"

#: mCOR/ui[5][0]/plots/clustMan.suffix
msgid "variable numbers by commas"
msgstr "変数番号をコンマ区切りで入力"

#: R\mmf.b.R
msgid "Variable to impute"
msgstr "補完対象変数"

#: mOUT/options/vars.title mOUT/ui[0][0].label
msgid "Variables"
msgstr "変数"

#: mPWR/options/var_ratio.title mPWR/ui[1]/var_ratio.label
msgid "Variance ratio (SD₁² / SD₂²)"
msgstr ""

#: mCOR/options/clustMet/ward.D2.title
msgid "Ward´s D2 Linkage"
msgstr "ウォード法（D2）"

#: mCOR/options/clustMet/ward.D.title
msgid "Ward´s Linkage"
msgstr "ウォード法"

#: mROC/options/cmpDeLong/wcontr.title
msgid "With control"
msgstr "コントロールと比較"

#: R\mmf.b.R
msgid "with missing data on other variables"
msgstr "他の変数に欠損値がある場合"

#: R\mmf.b.R
msgid "with observed data on other variables"
msgstr "他の変数に観測データがある場合"

#: mROC/options/theBest/bestY.title
msgid "Youden Best"
msgstr "ユーデン指数最大"

#: mROC/options/theBest/bssY.title
msgid "Youden Best (Sp, Se)"
msgstr "ユーデン指数最大（特異度・感度）"

#: mOUT/options/outlcheck/ZS.title
msgid "Z-score"
msgstr "Z得点"

#~ msgid "Outliers<br>found"
#~ msgstr "同定された<br>外れ値"

#~ msgid "Uncertain Interval"
#~ msgstr "不確実区間"

#, fuzzy
#~| msgid "ROC by predictors"
#~ msgid "Continuous predictors"
#~ msgstr "予測変数別ROC"

#~ msgid "Outliers<br>removed"
#~ msgstr "除去された<br>外れ値"

#~ msgid "Variables with outliers"
#~ msgstr "外れ値つき変数"

#~ msgid "N of outliers"
#~ msgstr "外れ値の個数"

#~ msgid "Correlation Matrix"
#~ msgstr "相関行列"