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zh-tw.po
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msgid ""
msgstr ""
"POT-Creation-Date: 2021-07-26 12:08:06+01000\n"
"PO-Revision-Date: 2024-10-16 12:16+0000\n"
"Last-Translator: 蔡幸祖 <[email protected]>\n"
"Language-Team: Chinese (Traditional Han script) <https://hosted.weblate.org/"
"projects/jamovi/jmv-i18n/zh_Hant/>\n"
"Language: zh-tw\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 5.8-rc\n"
#: R/errors.R
msgid "'{col}' contains infinite values"
msgstr "'{col}' 包含無限大數值"
#: R/errors.R
msgid "'{col}' contains missing values"
msgstr "'{col}' 包含缺漏值"
#: R/errors.R
msgid "'{col}' contains only missing values"
msgstr "'{col}' 皆為缺漏值"
#: R/errors.R
msgid "'{col}' contains only one unique value"
msgstr "'{col}' 僅包含一種資料值"
#: R/pca.b.R
msgid "'{method}' extraction method was used in combination with a '{rotation}' rotation"
msgstr "使用 '{method}' 萃取方式與 '{rotation}' 旋轉法"
#: R/pca.b.R
msgid "'{rotation}' rotation was used"
msgstr "使用'{rotation}'旋轉法"
#: R/linreg.b.R
msgid "'{var}' contains negative values. Negative weights are not permitted."
msgstr "'{var}' 包含負數值。無法接受負的加權值。"
#: R/corrpart.b.R
msgid "{} - Kendall's Tau B"
msgstr "{} - Kendall's Tau b"
#: R/corrpart.b.R
msgid "{} - Pearson's r"
msgstr "{} - Pearson's r 相關係數"
#: R/corrpart.b.R
msgid "{} - Spearman's rho"
msgstr "{} - Spearman rho"
#: R/corrmatrix.b.R
msgid "{ciWidth}% CI Lower"
msgstr "{ciWidth}% 信賴區間下界(CI Lower)"
#: R/descriptives.b.R
msgid "{ciWidth}% CI mean {title}"
msgstr "{ciWidth}% 信賴區間(CI) mean {title}"
#: R/corrmatrix.b.R
msgid "{ciWidth}% CI Upper"
msgstr "{ciWidth}% 信賴區間上界(CI Upper)"
#: R/ancova.b.R
#: R/anovarm.b.R
#: R/cfa.b.R
#: R/descriptives.b.R
#: R/linreg.b.R
#: R/loglinear.b.R
#: R/logregbin.b.R
#: R/logregmulti.b.R
#: R/logregord.b.R
#: R/proptest2.b.R
#: R/ttestis.b.R
#: R/ttestones.b.R
#: R/ttestps.b.R
msgid "{ciWidth}% Confidence Interval"
msgstr "{ciWidth}% 信賴區間(Confidence Interval)"
#: R/conttables.b.R
msgid "{ciWidth}% Confidence Intervals"
msgstr "{ciWidth}% 信賴區間(Confidence Intervals)"
#: R/utils.R
msgid "{item1} and {item2}"
msgstr "{item1} 與 {item2}"
#: R/utils.R
msgid "{list}, {nextItem}"
msgstr "{list}, {nextItem}"
#: R/utils.R
msgid "{list}, and {lastItem}"
msgstr "{list}, 及 {lastItem}"
#: R/ttestps.b.R
msgid "{n} pair(s) of values were tied"
msgstr "{n} 對數值為同值(tied)"
#: R/reliability.b.R
msgid "{type} score based on the variables {vars}"
msgstr "{vars} 資料變數的 {type} 分數"
#: R/reliability.b.R
msgid "{varName} (reversed)"
msgstr "{varName} (反向)"
#: R/logregbin.b.R
msgid "{varType} of binomial logistic regression model{modelNo}"
msgstr "二元變項邏輯斯迴歸(binomial logistic regression)模型{modelNo}的{varType}"
#: R/linreg.b.R
msgid "{varType} of linear regression model{modelNo}"
msgstr "線性迴歸(linear regression)模型{modelNo}的{varType}"
#: R/corrmatrix.b.R
#: R/corrpart.b.R
msgid "* p < .05, ** p < .01, *** p < .001, one-tailed"
msgstr "* p < .05，** p < .01，*** p < .001，單尾檢定"
#: ancova/ui[5][1][1]/postHocES_d[0]/postHocEsCi/postHocEsCiWidth.suffix
#: ancova/ui[6][1][0][1]/ciWidthEmm.suffix
#: anova/ui[5][1][1]/postHocES_d[0]/postHocEsCi/postHocEsCiWidth.suffix
#: anova/ui[6][1][0][1]/ciWidthEmm.suffix
#: anovaRM/ui[5][1][0][1]/ciWidthEmm.suffix
#: cfa/ui[3][1][0]/ci/ciWidth.suffix
#: contTables/ui[1][0][0][1][0]/ci/ciWidth.suffix
#: corrMatrix/ui[1][1]/ci/ciWidth.suffix
#: descriptives/ui[2][2][1][0]/ci/ciWidth.suffix
#: linReg/ui[5][0][0][1]/ci/ciWidth.suffix
#: linReg/ui[5][0][1][0]/ciStdEst/ciWidthStdEst.suffix
#: linReg/ui[6][1][0][0]/ciEmm/ciWidthEmm.suffix
#: logLinear/ui[4][0][0][1]/ci/ciWidth.suffix
#: logLinear/ui[4][0][1][0]/ciRR/ciWidthRR.suffix
#: logLinear/ui[5][1][0][0]/ciEmm/ciWidthEmm.suffix
#: logRegBin/ui[5][0][0][1]/ci/ciWidth.suffix
#: logRegBin/ui[5][0][1][0]/ciOR/ciWidthOR.suffix
#: logRegBin/ui[6][1][0][0]/ciEmm/ciWidthEmm.suffix
#: logRegMulti/ui[4][0][0][1]/ci/ciWidth.suffix
#: logRegMulti/ui[4][0][1][0]/ciOR/ciWidthOR.suffix
#: logRegMulti/ui[5][1][0][0]/ciEmm/ciWidthEmm.suffix
#: logRegOrd/ui[4][0][1][0]/ci/ciWidth.suffix
#: logRegOrd/ui[4][0][1][1]/ciOR/ciWidthOR.suffix
#: propTest2/ui[1][1][0]/ci/ciWidth.suffix
#: propTest2/ui[2][1][0]/ciBayes/ciBayesWidth.suffix
#: ttestIS/ui[1][1][0]/meanDiff[0]/ci/ciWidth.suffix
#: ttestIS/ui[1][1][0]/effectSize[0]/ciES/ciWidthES.suffix
#: ttestOneS/ui[1][1][0]/meanDiff[0]/ci/ciWidth.suffix
#: ttestOneS/ui[1][1][0]/effectSize[0]/ciES/ciWidthES.suffix
#: ttestPS/ui[1][1][0]/meanDiff[0]/ci/ciWidth.suffix
#: ttestPS/ui[1][1][0]/effectSize[0]/ciES/ciWidthES.suffix
msgid "%"
msgstr "%"
#: R/logregbin.b.R
msgid "% Correct"
msgstr "正確 %"
#: R/descriptives.b.R
msgid "% of Total"
msgstr "全部的 %"
#: R/conttables.b.R
msgid "% of total"
msgstr "全部的 %"
#: pca/results/factorStats/factorSummary.columns.title
#: pca/results/eigen/initEigen.columns.title
msgid "% of Variance"
msgstr "變異數 %"
#: R/conttables.b.R
#: R/conttablespaired.b.R
msgid "% within column"
msgstr "資料欄內 %"
#: R/conttables.b.R
#: R/conttablespaired.b.R
msgid "% within row"
msgstr "資料列內 %"
#: ancova/options/ss.description.R
#: anova/options/ss.description.R
msgid "`'1'`, `'2'` or `'3'` (default), the sum of squares to use"
msgstr "`'1'`, `'2'` 或 `'3'` (預設), 使用的差方和(sum of squares)"
#: anovaRM/options/ss.description.R
msgid "`'2'` or `'3'` (default), the sum of squares to use"
msgstr "`'2'` 或 `'3'` (預設), 使用的差方和(sum of squares)"
#: contTables/options/hypothesis.description.R
#: ttestIS/options/hypothesis.description.R
msgid "`'different'` (default), `'oneGreater'` or `'twoGreater'`, the alternative hypothesis; group 1 different to group 2, group 1 greater than group 2, and group 2 greater than group 1 respectively"
msgstr "`'different'` (預設), `'oneGreater'` or `'twoGreater'`，對立假說；分別表示群組一和群組二有顯著差異，群組一顯著大於群組二，以及群組二顯著大於群組一"
#: ttestPS/options/hypothesis.description.R
msgid "`'different'` (default), `'oneGreater'` or `'twoGreater'`, the alternative hypothesis; measure 1 different to measure 2, measure 1 greater than measure 2, and measure 2 greater than measure 1 respectively"
msgstr "`'different'` (預設), `'oneGreater'` or `'twoGreater'`，對立假說；分別表示測量一和測量二有顯著差異，測量一顯著大於測量二，以及測量二顯著大於測量一"
#: ttestOneS/options/hypothesis.description.R
msgid "`'dt'` (default), `'gt'` or `'lt'`, the alternative hypothesis; different to `testValue`, greater than `testValue`, and less than `testValue` respectively"
msgstr "`'dt'` (預設), `'gt'` 或 `'lt'`, 對立假說種類；分別表示：和`testValue`有顯著差異，顯著大於`testValue`，以及 顯著小於`testValue`"
#: cfa/options/constrain.description.R
msgid "`'facVar'` or `'facInd'`, how to contrain the model; `'facVar'` fixes the factor variances to one, `'facInd'` fixes each factor to the scale of its first indicator."
msgstr "`'facVar'` 或 `'facInd'`，對模型參數估計的約束(constrain)方式；`'facVar'`將因素變異數固定為一，`'facInd'`將第一個指標參數估計固定為一。"
#: cfa/options/miss.description.R
msgid "`'listwise'` or `'fiml'`, how to handle missing values; `'listwise'` excludes a row from all analyses if one of its entries is missing, `'fiml'` uses a full information maximum likelihood method to estimate the model."
msgstr "`'listwise'` 或 `'fiml'`，處理缺漏值的方式； `'listwise'` 若該資料行有任何缺漏，便從所有分析中剃除，`'fiml'` 使用全訊息最大概似法(full information maximum likelihood)來進行模型參數估計。"
#: anovaRMNP/options/plotType.description.R
msgid "`'means'` (default) or `'medians'`, the error bars to use in the plot"
msgstr "`'means'` (預設) 或 `'medians'`，圖形中所使用的誤差線(error bars)"
#: efa/options/extraction.description.R
msgid "`'minres'` (default), `'ml'`, or `'pa'` use respectively 'minimum residual', 'maximum likelihood', or 'prinicipal axis' as the factor extraction method"
msgstr "`'minres'`（預設）、 "
"`'ml'`或`'pa'`分別使用“最小殘差”、“最大似然”或“初級軸”作為因數提取方法"
#: ancova/options/emmPlotError.description.R
#: anova/options/emmPlotError.description.R
#: anovaRM/options/emmPlotError.description.R
msgid "`'none'`, `'ci'` (default), or `'se'`. Use no error bars, use confidence intervals, or use standard errors on the marginal mean plots, respectively"
msgstr "''none''、''ci''（預設值）或 "
"''se''。在邊際均值圖上分別使用無誤差線、使用置信區間或使用標準誤"
#: anovaOneW/options/phMethod.description.R
msgid "`'none'`, `'gamesHowell'` or `'tukey'`, which post-hoc tests to provide; `'none'` shows no post-hoc tests, `'gamesHowell'` shows Games-Howell post-hoc tests where no equivalence of variances is assumed, and `'tukey'` shows Tukey post-hoc tests where equivalence of variances is assumed"
msgstr ""
"''none''， ''gamesHowell'' 或 ''tukey''，提供事後檢定;''none'' "
"顯示沒有事後檢定，''gamesHowell'' 使用Games-Howell "
"事後檢定，用於違反變異數同質假設的情境中，而''tukey'' 使用Tukey "
"事後檢定，假設變異數同質"
#: pca/options/rotation.description.R
msgid "`'none'`, `'varimax'` (default), `'quartimax'`, `'promax'`, `'oblimin'`, or `'simplimax'`, the rotation to use in estimation"
msgstr ""
"''none''， ''varimax'' （預設）， ''quartimax''， ''promax''， ''oblimin'' "
"或 ''simplimax''，用於估計的旋轉"
#: efa/options/rotation.description.R
msgid "`'none'`, `'varimax'`, `'quartimax'`, `'promax'`, `'oblimin'` (default), or `'simplimax'`, the rotation to use in estimation"
msgstr ""
"`'none'`, `'varimax'`, `'quartimax'`, `'promax'`, "
"`'oblimin'`（預設值）或''simplimax''，用於估計的旋轉"
#: propTest2/options/hypothesis.description.R
msgid "`'notequal'` (default), `'greater'` or `'less'`, the alternative hypothesis"
msgstr "對立假設：`'notequal(不相等)'` (預設)， `'greater(大於)'` 或 `'less(小於)'`"
#: efa/options/nFactorMethod.description.R
#: pca/options/nFactorMethod.description.R
msgid "`'parallel'` (default), `'eigen'` or `'fixed'`, the way to determine the number of factors"
msgstr "決定因素個數的方式：`'parallel'` (平行分析／預設)，`'eigen'`(特徵值) 或 "
"`'fixed'`(固定個數)"
#: ttestPS/options/miss.description.R
msgid "`'perAnalysis'` or `'listwise'`, how to handle missing values; `'perAnalysis'` excludes missing values for individual dependent variables, `'listwise'` excludes a row from all analyses if one of its entries is missing"
msgstr ""
"處理缺失值的方式：`'perAnalysis'` 或 `'listwise'`； `'perAnalysis'`會依照不同"
"依變項的分析來排除缺失值，`'listwise'`在所有分析變項中，只要有一個欄位是缺失"
"值，便會在所有分析中排除該資料列"
#: anovaOneW/options/miss.description.R
#: ttestIS/options/miss.description.R
#: ttestOneS/options/miss.description.R
msgid "`'perAnalysis'` or `'listwise'`, how to handle missing values; `'perAnalysis'` excludes missing values for individual dependent variables, `'listwise'` excludes a row from all analyses if one of its entries is missing."
msgstr ""
"處理缺失值的方式：`'perAnalysis'` 或 `'listwise'`； `'perAnalysis'`會依照不同"
"依變項的分析來排除缺失值，`'listwise'`在所有分析變項中，只要有一個欄位是缺失"
"值，便會在所有分析中排除該資料列。"
#: linReg/options/intercept.description.R
msgid "`'refLevel'` (default) or `'grandMean'`, coding of the intercept. Either creates contrast so that the intercept represents the reference level or the grand mean"
msgstr ""
"截距的編碼方式：`'refLevel'` (預設) 或 `'grandMean'`。兩者會採用不同比對方式("
"contrast)來讓截距分別代表參照水準或整體平均"
#: descriptives/options/desc.description.R
msgid "`'rows'` or `'columns'` (default), display the variables across the rows or across the columns (default)"
msgstr "`'rows'` 或 `'columns'` (預設)，顯示行變項或是列變項(預設)"
#: efa/options/factorScoreMethod.description.R
msgid "`'Thurstone'` (default), `'Bartlett'`, `'tenBerge'`, `'Anderson'`, or `'Harman'` use respectively 'Thurstone', 'Bartlett', 'ten Berge', 'Anderson & Rubin', or 'Harman' method for estimating factor scores"
msgstr ""
"`'Thurstone'` (預設)、`'Bartlett'`、`'tenBerge'`、`'Anderson'`、或`'Harman'`"
"。分別使用'Thurstone'、'Bartlett'、'ten Berge'、'Anderson & "
"Rubin'、或'Harman'方法來估計因素分數"
#: ancova/results/main.title
msgid "`ANCOVA - ${dep}`"
msgstr "`ANCOVA - ${dep}`"
#: anova/results/main.title
msgid "`ANOVA - ${dep}`"
msgstr "`ANOVA - ${dep}`"
#: contTables/options/compare.description.R
msgid "`columns` or `rows` (default), compare columns/rows in difference of proportions or relative risks (2x2 tables)"
msgstr "`columns` 或 `rows` (預設)，比較資料行/列的比例差異或相對風險(2x2表格)"
#: linReg/results/models.template/coef.title
msgid "`Model Coefficients - ${ dep }`"
msgstr "`模型係數 - ${ dep }`"
#: logRegBin/results/models.template/coef.title
#: logRegMulti/results/models.template/coef.title
#: logRegOrd/results/models.template/coef.title
msgid "`Model Coefficients - ${dep}`"
msgstr "`模型係數 - ${dep}`"
#: propTestN/results/props.title
msgid "`Proportions - ${var}`"
msgstr "`比例 - ${var}`"
#: descriptives/options/boxLabelOutliers.description.R
msgid "`TRUE` (default) or `FALSE`, add labels with the row number to the outliers in the box plot"
msgstr ""
#: ttestIS/options/students.description.R
#: ttestOneS/options/students.description.R
#: ttestPS/options/students.description.R
msgid "`TRUE` (default) or `FALSE`, perform Student's t-tests"
msgstr ""
#: anovaOneW/options/welchs.description.R
msgid "`TRUE` (default) or `FALSE`, perform Welch's one-way ANOVA which does not assume equal variances"
msgstr ""
#: cfa/options/estTest.description.R
msgid "`TRUE` (default) or `FALSE`, provide 'Z' and 'p' values for the model estimates"
msgstr ""
#: cfa/options/modelTest.description.R
msgid "`TRUE` (default) or `FALSE`, provide a chi-square test for exact fit that compares the model with the perfect fitting model"
msgstr ""
#: linReg/options/ciEmm.description.R
#: logLinear/options/ciEmm.description.R
#: logRegBin/options/ciEmm.description.R
#: logRegMulti/options/ciEmm.description.R
msgid "`TRUE` (default) or `FALSE`, provide a confidence interval for the estimated marginal means"
msgstr ""
#: logLinear/options/aic.description.R
#: logRegBin/options/aic.description.R
#: logRegMulti/options/aic.description.R
#: logRegOrd/options/aic.description.R
msgid "`TRUE` (default) or `FALSE`, provide Aikaike's Information Criterion (AIC) for the models"
msgstr ""
#: reliability/options/alphaScale.description.R
msgid "`TRUE` (default) or `FALSE`, provide Cronbach's α"
msgstr ""
#: ancova/options/emmPlots.description.R
#: anova/options/emmPlots.description.R
#: anovaRM/options/emmPlots.description.R
#: linReg/options/emmPlots.description.R
#: logLinear/options/emmPlots.description.R
#: logRegBin/options/emmPlots.description.R
#: logRegMulti/options/emmPlots.description.R
msgid "`TRUE` (default) or `FALSE`, provide estimated marginal means plots"
msgstr ""
#: cfa/options/factCovEst.description.R
msgid "`TRUE` (default) or `FALSE`, provide estimates for the factor (co)variances"
msgstr ""
#: cfa/options/resCovEst.description.R
msgid "`TRUE` (default) or `FALSE`, provide estimates for the residual (co)variances"
msgstr ""
#: anovaOneW/options/phMeanDif.description.R
msgid "`TRUE` (default) or `FALSE`, provide mean differences for post-hoc tests"
msgstr ""
#: corrMatrix/options/pearson.description.R
#: corrPart/options/pearson.description.R
msgid "`TRUE` (default) or `FALSE`, provide Pearson's R"
msgstr ""
#: corrMatrix/options/sig.description.R
#: corrPart/options/sig.description.R
msgid "`TRUE` (default) or `FALSE`, provide significance levels"
msgstr ""
#: anovaOneW/options/phSig.description.R
msgid "`TRUE` (default) or `FALSE`, provide significance levels for post-hoc tests"
msgstr ""
#: logLinear/options/dev.description.R
#: logRegBin/options/dev.description.R
#: logRegMulti/options/dev.description.R
#: logRegOrd/options/dev.description.R
msgid "`TRUE` (default) or `FALSE`, provide the deviance (or -2LogLikelihood) for the models"
msgstr ""
#: descriptives/options/mean.description.R
msgid "`TRUE` (default) or `FALSE`, provide the mean"
msgstr ""
#: descriptives/options/median.description.R
msgid "`TRUE` (default) or `FALSE`, provide the median"
msgstr ""
#: linReg/options/modelTest.description.R
msgid "`TRUE` (default) or `FALSE`, provide the model comparison between the models and the NULL model"
msgstr ""
#: descriptives/options/missing.description.R
msgid "`TRUE` (default) or `FALSE`, provide the number of missing values"
msgstr ""
#: descriptives/options/n.description.R
msgid "`TRUE` (default) or `FALSE`, provide the sample size"
msgstr ""
#: descriptives/options/sd.description.R
msgid "`TRUE` (default) or `FALSE`, provide the standard deviation"
msgstr ""
#: linReg/options/r2.description.R
msgid "`TRUE` (default) or `FALSE`, provide the statistical measure `R-squared` for the models"
msgstr ""
#: linReg/options/r.description.R
msgid "`TRUE` (default) or `FALSE`, provide the statistical measure `R` for the models"
msgstr ""
#: contTables/options/chiSq.description.R
#: contTablesPaired/options/chiSq.description.R
msgid "`TRUE` (default) or `FALSE`, provide χ²"
msgstr ""
#: ancova/options/emmWeights.description.R
#: anova/options/emmWeights.description.R
#: anovaRM/options/emmWeights.description.R
#: linReg/options/emmWeights.description.R
#: logLinear/options/emmWeights.description.R
#: logRegBin/options/emmWeights.description.R
#: logRegMulti/options/emmWeights.description.R
msgid "`TRUE` (default) or `FALSE`, weigh each cell equally or weigh them according to the cell frequency"
msgstr ""
#: descriptives/options/barCounts.description.R
msgid "`TRUE` or `FALSE` (default), add counts to the bar plots"
msgstr ""
#: descriptives/options/boxMean.description.R
msgid "`TRUE` or `FALSE` (default), add mean to box plot"
msgstr ""
#: corrMatrix/options/flag.description.R
#: corrPart/options/flag.description.R
msgid "`TRUE` or `FALSE` (default), flag significant correlations"
msgstr ""
#: anovaOneW/options/phFlag.description.R
msgid "`TRUE` or `FALSE` (default), flag significant post-hoc comparisons"
msgstr ""
#: linReg/options/norm.description.R
msgid "`TRUE` or `FALSE` (default), perform a Shapiro-Wilk test on the residuals"
msgstr ""
#: anovaOneW/options/fishers.description.R
msgid "`TRUE` or `FALSE` (default), perform Fisher's one-way ANOVA which assumes equal variances"
msgstr ""
#: ancova/options/homo.description.R
#: anova/options/homo.description.R
msgid "`TRUE` or `FALSE` (default), perform homogeneity tests"
msgstr ""
#: anovaOneW/options/eqv.description.R
msgid "`TRUE` or `FALSE` (default), perform Levene's test for homogeneity of variances"
msgstr ""
#: ttestIS/options/eqv.description.R
msgid "`TRUE` or `FALSE` (default), perform Levene's tests for homogeneity of variances"
msgstr ""
#: ttestIS/options/mann.description.R
msgid "`TRUE` or `FALSE` (default), perform Mann-Whitney U tests"
msgstr ""
#: anovaNP/options/pairs.description.R
#: anovaRMNP/options/pairs.description.R
msgid "`TRUE` or `FALSE` (default), perform pairwise comparisons"
msgstr ""
#: ttestPS/options/norm.description.R
msgid "`TRUE` or `FALSE` (default), perform Shapiro-wilk normality tests"
msgstr ""
#: anovaOneW/options/norm.description.R
msgid "`TRUE` or `FALSE` (default), perform Shapiro-Wilk test of normality"
msgstr ""
#: ancova/options/norm.description.R
#: anova/options/norm.description.R
#: ttestIS/options/norm.description.R
msgid "`TRUE` or `FALSE` (default), perform Shapiro-Wilk tests of normality"
msgstr ""
#: ttestOneS/options/norm.description.R
msgid "`TRUE` or `FALSE` (default), perform Shapiro-wilk tests of normality"
msgstr ""
#: anovaRM/options/spherTests.description.R
msgid "`TRUE` or `FALSE` (default), perform sphericity tests"
msgstr ""
#: ttestIS/options/welchs.description.R
msgid "`TRUE` or `FALSE` (default), perform Welch's t-tests"
msgstr ""
#: ttestOneS/options/wilcoxon.description.R
#: ttestPS/options/wilcoxon.description.R
msgid "`TRUE` or `FALSE` (default), perform Wilcoxon signed rank tests"
msgstr ""
#: ancova/options/emmPlotData.description.R
#: anova/options/emmPlotData.description.R
#: anovaRM/options/emmPlotData.description.R
msgid "`TRUE` or `FALSE` (default), plot the data on top of the marginal means"
msgstr ""
#: logLinear/options/ci.description.R
#: logRegBin/options/ci.description.R
#: logRegMulti/options/ci.description.R
#: logRegOrd/options/ci.description.R
msgid "`TRUE` or `FALSE` (default), provide a confidence interval for the model coefficient estimates"
msgstr ""
#: logRegBin/options/ciOR.description.R
#: logRegMulti/options/ciOR.description.R
#: logRegOrd/options/ciOR.description.R
msgid "`TRUE` or `FALSE` (default), provide a confidence interval for the model coefficient odds ratio estimates"
msgstr ""
#: logLinear/options/ciRR.description.R
msgid "`TRUE` or `FALSE` (default), provide a confidence interval for the model coefficient rate ratio estimates"
msgstr ""
#: linReg/options/ciStdEst.description.R
msgid "`TRUE` or `FALSE` (default), provide a confidence interval for the model coefficient standardized estimates"
msgstr ""
#: linReg/options/ci.description.R
msgid "`TRUE` or `FALSE` (default), provide a confidence interval for the model coefficients"
msgstr ""
#: cfa/options/ci.description.R
msgid "`TRUE` or `FALSE` (default), provide a confidence interval for the model estimates"
msgstr ""
#: corrMatrix/options/plots.description.R
msgid "`TRUE` or `FALSE` (default), provide a correlation matrix plot"
msgstr ""
#: reliability/options/corPlot.description.R
msgid "`TRUE` or `FALSE` (default), provide a correlation plot"
msgstr ""
#: logRegBin/options/cutOffPlot.description.R
msgid "`TRUE` or `FALSE` (default), provide a cut-off plot"
msgstr ""
#: anovaRMNP/options/plots.description.R
msgid "`TRUE` or `FALSE` (default), provide a descriptive plot"
msgstr ""
#: cfa/options/pathDiagram.description.R
msgid "`TRUE` or `FALSE` (default), provide a path diagram of the model"
msgstr ""
#: logRegBin/options/class.description.R
msgid "`TRUE` or `FALSE` (default), provide a predicted classification table (or confusion matrix)"
msgstr ""
#: mancova/options/qqPlot.description.R
msgid "`TRUE` or `FALSE` (default), provide a Q-Q plot of multivariate normality"
msgstr ""
#: ancova/options/qq.description.R
#: anova/options/qq.description.R
#: anovaOneW/options/qq.description.R
#: anovaRM/options/qq.description.R
#: linReg/options/qqPlot.description.R
#: ttestOneS/options/qq.description.R
#: ttestPS/options/qq.description.R
msgid "`TRUE` or `FALSE` (default), provide a Q-Q plot of residuals"
msgstr ""
#: logRegBin/options/rocPlot.description.R
msgid "`TRUE` or `FALSE` (default), provide a ROC curve plot"
msgstr ""
#: linReg/options/stdEst.description.R
msgid "`TRUE` or `FALSE` (default), provide a standardized estimate for the model coefficients"
msgstr ""
#: cfa/options/stdEst.description.R
msgid "`TRUE` or `FALSE` (default), provide a standardized estimate for the model estimates"
msgstr ""
#: contTables/options/zProp.description.R
msgid "`TRUE` or `FALSE` (default), provide a z test for differences between two proportions"
msgstr ""
#: linReg/options/aic.description.R
msgid "`TRUE` or `FALSE` (default), provide Aikaike's Information Criterion (AIC) for the models"
msgstr ""
#: contTablesPaired/options/exact.description.R
msgid "`TRUE` or `FALSE` (default), provide an exact log odds ratio (requires exact2x2 to be installed)"
msgstr ""
#: descriptives/options/bar.description.R
msgid "`TRUE` or `FALSE` (default), provide bar plots (nominal, ordinal variables only)"
msgstr ""
#: propTest2/options/bf.description.R
#: ttestIS/options/bf.description.R
#: ttestOneS/options/bf.description.R
#: ttestPS/options/bf.description.R
msgid "`TRUE` or `FALSE` (default), provide Bayes factors"
msgstr ""
#: propTest2/options/ciBayes.description.R
msgid "`TRUE` or `FALSE` (default), provide Bayesian credible intervals"
msgstr ""
#: linReg/options/bic.description.R
#: logLinear/options/bic.description.R
#: logRegBin/options/bic.description.R
#: logRegMulti/options/bic.description.R
#: logRegOrd/options/bic.description.R
msgid "`TRUE` or `FALSE` (default), provide Bayesian Information Criterion (BIC) for the models"
msgstr ""
#: descriptives/options/box.description.R
msgid "`TRUE` or `FALSE` (default), provide box plots (continuous variables only)"
msgstr ""
#: logRegBin/options/boxTidwell.description.R
msgid "`TRUE` or `FALSE` (default), provide Box-Tidwell test for linearity of the logit"
msgstr ""
#: mancova/options/boxM.description.R
msgid "`TRUE` or `FALSE` (default), provide Box's M test"
msgstr ""
#: ttestOneS/options/effectSize.description.R
msgid "`TRUE` or `FALSE` (default), provide Cohen's d effect sizes"
msgstr ""
#: contTables/options/pcCol.description.R
#: contTablesPaired/options/pcCol.description.R
msgid "`TRUE` or `FALSE` (default), provide column percentages"
msgstr ""
#: corrMatrix/options/ci.description.R
#: propTest2/options/ci.description.R
#: ttestIS/options/ci.description.R
#: ttestPS/options/ci.description.R
msgid "`TRUE` or `FALSE` (default), provide confidence intervals"
msgstr ""
#: contTables/options/ci.description.R
msgid "`TRUE` or `FALSE` (default), provide confidence intervals for the comparative measures"
msgstr ""
#: ttestIS/options/ciES.description.R
#: ttestOneS/options/ciES.description.R
#: ttestPS/options/ciES.description.R
msgid "`TRUE` or `FALSE` (default), provide confidence intervals for the effect-sizes"
msgstr ""
#: descriptives/options/ci.description.R
msgid "`TRUE` or `FALSE` (default), provide confidence intervals for the mean"
msgstr ""
#: ttestOneS/options/ci.description.R
msgid "`TRUE` or `FALSE` (default), provide confidence intervals for the mean difference"
msgstr ""
#: ancova/options/postHocEsCi.description.R
#: anova/options/postHocEsCi.description.R
msgid "`TRUE` or `FALSE` (default), provide confidence intervals for the post-hoc effect sizes"
msgstr ""
#: corrMatrix/options/plotDens.description.R
msgid "`TRUE` or `FALSE` (default), provide densities in the correlation matrix plot"
msgstr ""
#: descriptives/options/dens.description.R
msgid "`TRUE` or `FALSE` (default), provide density plots (continuous variables only)"
msgstr ""
#: anovaOneW/options/descPlot.description.R
#: ttestIS/options/plots.description.R
#: ttestOneS/options/plots.description.R
#: ttestPS/options/plots.description.R
msgid "`TRUE` or `FALSE` (default), provide descriptive plots"
msgstr ""
#: anovaOneW/options/desc.description.R
#: anovaRMNP/options/desc.description.R
#: ttestIS/options/desc.description.R
#: ttestOneS/options/desc.description.R
#: ttestPS/options/desc.description.R
msgid "`TRUE` or `FALSE` (default), provide descriptive statistics"
msgstr ""
#: descriptives/options/dot.description.R
msgid "`TRUE` or `FALSE` (default), provide dot plots (continuous variables only)"
msgstr ""
#: ttestIS/options/effectSize.description.R
#: ttestPS/options/effectSize.description.R
msgid "`TRUE` or `FALSE` (default), provide effect sizes"
msgstr ""
#: anovaNP/options/es.description.R
msgid "`TRUE` or `FALSE` (default), provide effect-sizes"
msgstr ""
#: ancova/options/emmTables.description.R
#: anova/options/emmTables.description.R
#: anovaRM/options/emmTables.description.R
#: linReg/options/emmTables.description.R
#: logLinear/options/emmTables.description.R
#: logRegBin/options/emmTables.description.R
#: logRegMulti/options/emmTables.description.R
msgid "`TRUE` or `FALSE` (default), provide estimated marginal means tables"
msgstr ""
#: cfa/options/factInterceptEst.description.R
msgid "`TRUE` or `FALSE` (default), provide estimates for the factor intercepts"
msgstr ""
#: cfa/options/resInterceptEst.description.R
msgid "`TRUE` or `FALSE` (default), provide estimates for the residual intercepts"
msgstr ""
#: contTables/options/fisher.description.R
msgid "`TRUE` or `FALSE` (default), provide Fisher's exact test"
msgstr ""
#: descriptives/options/freq.description.R
msgid "`TRUE` or `FALSE` (default), provide frequency tables (nominal, ordinal variables only)"
msgstr ""
#: contTables/options/gamma.description.R
msgid "`TRUE` or `FALSE` (default), provide gamma"
msgstr ""
#: descriptives/options/hist.description.R
msgid "`TRUE` or `FALSE` (default), provide histograms (continuous variables only)"
msgstr ""
#: reliability/options/meanItems.description.R
msgid "`TRUE` or `FALSE` (default), provide item means"
msgstr ""
#: reliability/options/sdItems.description.R
msgid "`TRUE` or `FALSE` (default), provide item standard deviations"
msgstr ""
#: reliability/options/itemRestCor.description.R
msgid "`TRUE` or `FALSE` (default), provide item-rest correlations"
msgstr ""
#: contTables/options/taub.description.R
#: corrMatrix/options/kendall.description.R
#: corrPart/options/kendall.description.R
msgid "`TRUE` or `FALSE` (default), provide Kendall's tau-b"
msgstr ""
#: contTables/options/mh.description.R
msgid "`TRUE` or `FALSE` (default), provide Mantel-Haenszel test for trend"
msgstr ""
#: reliability/options/omegaScale.description.R
msgid "`TRUE` or `FALSE` (default), provide McDonald's ω"
msgstr ""
#: ttestOneS/options/meanDiff.description.R
msgid "`TRUE` or `FALSE` (default), provide means and standard deviations"
msgstr ""
#: ttestIS/options/meanDiff.description.R
#: ttestPS/options/meanDiff.description.R
msgid "`TRUE` or `FALSE` (default), provide means and standard errors"
msgstr ""
#: cfa/options/mi.description.R
msgid "`TRUE` or `FALSE` (default), provide modification indices for the parameters not included in the model"
msgstr ""
#: descriptives/options/extreme.description.R
msgid "`TRUE` or `FALSE` (default), provide N most extreme (highest and lowest) values"
msgstr ""
#: descriptives/options/pc.description.R
msgid "`TRUE` or `FALSE` (default), provide percentiles"
msgstr ""
#: contTables/options/phiCra.description.R
msgid "`TRUE` or `FALSE` (default), provide Phi and Cramer's V"
msgstr ""
#: propTest2/options/postPlots.description.R
msgid "`TRUE` or `FALSE` (default), provide posterior plots"
msgstr ""
#: descriptives/options/qq.description.R
msgid "`TRUE` or `FALSE` (default), provide Q-Q plots (continuous variables only)"
msgstr ""
#: ttestIS/options/qq.description.R
msgid "`TRUE` or `FALSE` (default), provide Q-Q plots of residuals"
msgstr ""
#: descriptives/options/pcEqGr.description.R
msgid "`TRUE` or `FALSE` (default), provide quantiles"
msgstr ""
#: linReg/options/resPlots.description.R
msgid "`TRUE` or `FALSE` (default), provide residual plots where the dependent variable and each covariate is plotted against the standardized residuals."
msgstr ""
#: linReg/options/durbin.description.R
msgid "`TRUE` or `FALSE` (default), provide results of the Durbin- Watson test for autocorrelation"
msgstr ""
#: linReg/options/rmse.description.R
msgid "`TRUE` or `FALSE` (default), provide RMSE for the models"
msgstr ""
#: contTables/options/pcRow.description.R
#: contTablesPaired/options/pcRow.description.R
msgid "`TRUE` or `FALSE` (default), provide row percentages"
msgstr ""
#: descriptives/options/sw.description.R
msgid "`TRUE` or `FALSE` (default), provide Shapiro-Wilk p-value"
msgstr ""
#: mancova/options/shapiro.description.R
msgid "`TRUE` or `FALSE` (default), provide Shapiro-Wilk test"
msgstr ""
#: corrMatrix/options/spearman.description.R
#: corrPart/options/spearman.description.R
msgid "`TRUE` or `FALSE` (default), provide Spearman's rho"
msgstr ""
#: corrMatrix/options/plotStats.description.R
msgid "`TRUE` or `FALSE` (default), provide statistics in the correlation matrix plot"
msgstr ""
#: linReg/options/cooks.description.R
#: logRegBin/options/cooks.description.R
msgid "`TRUE` or `FALSE` (default), provide summary statistics for the Cook's distance"
msgstr ""
#: anovaOneW/options/phTest.description.R
msgid "`TRUE` or `FALSE` (default), provide test results (t-value and degrees of freedom) for post-hoc tests"
msgstr ""
#: contTables/options/contCoef.description.R
msgid "`TRUE` or `FALSE` (default), provide the contingency coefficient"
msgstr ""
#: contTables/options/diffProp.description.R
msgid "`TRUE` or `FALSE` (default), provide the differences in proportions (only available for 2x2 tables)"
msgstr ""
#: contTables/options/exp.description.R
msgid "`TRUE` or `FALSE` (default), provide the expected counts"
msgstr ""
#: logRegBin/options/OR.description.R
#: logRegMulti/options/OR.description.R
#: logRegOrd/options/OR.description.R
msgid "`TRUE` or `FALSE` (default), provide the exponential of the log-odds ratio estimate, or the odds ratio estimate"
msgstr ""
#: logLinear/options/RR.description.R
msgid "`TRUE` or `FALSE` (default), provide the exponential of the log-rate ratio estimate, or the rate ratio estimate"
msgstr ""
#: descriptives/options/iqr.description.R
msgid "`TRUE` or `FALSE` (default), provide the interquartile range"
msgstr ""
#: descriptives/options/kurt.description.R
msgid "`TRUE` or `FALSE` (default), provide the kurtosis"
msgstr ""
#: contTables/options/likeRat.description.R
msgid "`TRUE` or `FALSE` (default), provide the likelihood ratio"
msgstr ""
#: contTables/options/logOdds.description.R
msgid "`TRUE` or `FALSE` (default), provide the log odds ratio (only available for 2x2 tables)"
msgstr ""
#: descriptives/options/max.description.R
msgid "`TRUE` or `FALSE` (default), provide the maximum"
msgstr ""
#: reliability/options/meanScale.description.R
msgid "`TRUE` or `FALSE` (default), provide the mean"
msgstr ""
#: descriptives/options/min.description.R
msgid "`TRUE` or `FALSE` (default), provide the minimum"
msgstr ""
#: descriptives/options/mode.description.R
msgid "`TRUE` or `FALSE` (default), provide the mode"
msgstr ""
#: logLinear/options/modelTest.description.R
#: logRegBin/options/modelTest.description.R
#: logRegMulti/options/modelTest.description.R
#: logRegOrd/options/modelTest.description.R
msgid "`TRUE` or `FALSE` (default), provide the model comparison between the models and the NULL model"
msgstr ""
#: corrMatrix/options/n.description.R
#: corrPart/options/n.description.R
msgid "`TRUE` or `FALSE` (default), provide the number of cases"
msgstr ""
#: contTables/options/obs.description.R
msgid "`TRUE` or `FALSE` (default), provide the observed counts"
msgstr ""
#: contTables/options/odds.description.R
msgid "`TRUE` or `FALSE` (default), provide the odds ratio (only available for 2x2 tables)"
msgstr ""
#: linReg/options/anova.description.R
msgid "`TRUE` or `FALSE` (default), provide the omnibus ANOVA test for the predictors"
msgstr ""
#: logLinear/options/omni.description.R
#: logRegBin/options/omni.description.R
#: logRegMulti/options/omni.description.R
#: logRegOrd/options/omni.description.R
msgid "`TRUE` or `FALSE` (default), provide the omnibus likelihood ratio tests for the predictors"
msgstr ""
#: logRegBin/options/acc.description.R
msgid "`TRUE` or `FALSE` (default), provide the predicted accuracy of outcomes grouped by the cut-off value"
msgstr ""
#: logRegBin/options/sens.description.R
msgid "`TRUE` or `FALSE` (default), provide the predicted sensitivity of outcomes grouped by the cut-off value"
msgstr ""
#: logRegBin/options/spec.description.R
msgid "`TRUE` or `FALSE` (default), provide the predicted specificity of outcomes grouped by the cut-off value"
msgstr ""
#: descriptives/options/range.description.R
msgid "`TRUE` or `FALSE` (default), provide the range"
msgstr ""
#: logRegBin/options/auc.description.R
msgid "`TRUE` or `FALSE` (default), provide the rea under the ROC curve (AUC)"
msgstr ""
#: contTables/options/relRisk.description.R
msgid "`TRUE` or `FALSE` (default), provide the relative risk (only available for 2x2 tables)"
msgstr ""
#: cfa/options/corRes.description.R
msgid "`TRUE` or `FALSE` (default), provide the residuals for the observed correlation matrix (i.e., the difference between the expected correlation matrix and the observed correlation matrix)"
msgstr ""
#: descriptives/options/skew.description.R
msgid "`TRUE` or `FALSE` (default), provide the skewness"
msgstr ""
#: reliability/options/sdScale.description.R
msgid "`TRUE` or `FALSE` (default), provide the standard deviation"
msgstr ""
#: descriptives/options/se.description.R