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zF`R9^89R;9>zI_^ambD1O|9ooIre@hROQ%5TI)8nG`#58XIg5TTk9%YHZ)9bDoQ;a z6Kp;8yc62ygtkWx?{w@<-=5)w_O@2pj@{sdnw*XNJM3({=xp2>sc&;^?i=Dl$G+s) zwN5BJ*~&EE=XNc%^)07&N3ZX8_YJJfri77SwohzrJlNV?(^6H_THV-k<`9jIOiSl< zf4sACs~Qn{)v-^8D~4Nh&p7sr&IUVr=FP3U9Q$l^y0o*Qj?1tA^5q+i+u9Cks&t8( zz9Y?i_d55`!KRAzQE{GVGj5z{X!#XSIn!Emp|y$O+?#TiEHyewBT{HeOGBk& qGm1MLJM7qv8o7qL8;#YD{hVVTcWjzfueq={rI~`Id@d^Jl=&Yzd99xS diff --git a/po/R-ja.po b/po/R-ja.po index 8a49f595..b9645e58 100644 --- a/po/R-ja.po +++ b/po/R-ja.po @@ -30,6 +30,25 @@ msgid "" msgstr "" "モデルを推定できませんでした。 2変数未満の因子が2次レベルで追加されました。" +msgid "" +"Not more cases than number of variables. Is your data a variance-covariance " +"matrix?" +msgstr "" + +msgid "" +"Input data does not seem to be a symmetric matrix! Please check the format " +"of the input data." +msgstr "" + +msgid "All cells must be numeric." +msgstr "" + +msgid "Grouping variable not supported for covariance matrix input" +msgstr "" + +msgid "Mean structure not supported for covariance matrix input" +msgstr "" + msgid "FIML missing data handling only available with ML-type estimators" msgstr "FIML の欠損値処理は,ML タイプの推定法でのみ使用可能です" @@ -67,6 +86,14 @@ msgstr "収束しなかったため,モデルは推定できませんでした msgid "The model could not be estimated: No degrees of freedom left." msgstr "モデルは推定できませんでした: 自由度が残っていません。" +msgid "Bootstrapping is not available for variance-covariance matrix input." +msgstr "" + +msgid "" +"Robust standard errors are not available for variance-covariance matrix " +"input." +msgstr "" + msgid "# Factors" msgstr "# 因子" @@ -91,17 +118,15 @@ msgstr "ベースラインモデル" msgid "Factor model" msgstr "因子モデル" -msgid "" -"The estimator is %1$s and the test statistic is %2$s because there are " -"categorical variables in the data." -msgstr "" -"データにカテゴリー変数があるので、推定量は %1$s 、検定統計量は %2$s である." - -msgid "You may consider changing the standard error method to 'robust'." +#, fuzzy +msgid "%s You may consider changing the standard error method to 'robust'." msgstr "標準誤差の方法を'頑健(robust)'に変えることを検討してください." -msgid "The estimator is %s." -msgstr "推定量は %s です." +msgid "%1$s The estimator is %2$s. The test statistic is %3$s." +msgstr "" + +msgid "%1$s The standard error method is %2$s." +msgstr "" msgid "Kaiser-Meyer-Olkin (KMO) test" msgstr "Kaiser-Meyer-Olkin検定" @@ -220,6 +245,13 @@ msgstr "" "すべてのブートストラップサンプルが成功したわけではありません。CIは%.0fのサン" "プルに基づいています。" +#, fuzzy +msgid "Std. estimate" +msgstr "推定" + +msgid "Estimate" +msgstr "推定" + msgid "Factor loadings" msgstr "因子負荷量" @@ -232,9 +264,6 @@ msgstr "要因" msgid "Indicator" msgstr "指標" -msgid "Estimate" -msgstr "推定" - msgid "Std. Error" msgstr "標準誤差" @@ -250,9 +279,6 @@ msgstr "%s%% 信頼区間" msgid "Upper" msgstr "上限" -msgid "Std. Est. (%s)" -msgstr "標準化推定値(%s)" - msgid "Second-order factor loadings" msgstr "2次因子負荷量" @@ -382,10 +408,10 @@ msgstr "" "ないことが原因かもしれない.\n" " 内部エラーメッセージ: %s" -msgid "No factors with an eigenvalue >" -msgstr "次より大きい固有値を持つ因子がありません >" - -msgid "Maximum observed eigenvalue equals" +#, fuzzy +msgid "" +"No factors with an eigenvalue > %1$s. Maximum observed eigenvalue equals " +"%2$s." msgstr "観測された最大の固有値:" msgid "Kaiser-Meyer-Olkin Test" @@ -529,9 +555,6 @@ msgstr "" msgid "Parallel analysis failed. Internal error message: %s" msgstr "平行分析に失敗しました. 内部エラー メッセージ: %s" -msgid "No components with an eigenvalue >" -msgstr "次より大きい固有値を持つコンポーネントがありません: >" - msgid "Component Loadings" msgstr "成分負荷量" @@ -547,6 +570,25 @@ msgstr "スクリープロット" msgid "Component" msgstr "コンポーネント" +#~ msgid "" +#~ "The estimator is %1$s and the test statistic is %2$s because there are " +#~ "categorical variables in the data." +#~ msgstr "" +#~ "データにカテゴリー変数があるので、推定量は %1$s 、検定統計量は %2$s であ" +#~ "る." + +#~ msgid "The estimator is %s." +#~ msgstr "推定量は %s です." + +#~ msgid "Std. Est. (%s)" +#~ msgstr "標準化推定値(%s)" + +#~ msgid "No factors with an eigenvalue >" +#~ msgstr "次より大きい固有値を持つ因子がありません >" + +#~ msgid "No components with an eigenvalue >" +#~ msgstr "次より大きい固有値を持つコンポーネントがありません: >" + #~ msgid "Symbol" #~ msgstr "シンボル"