es.po

msgid ""
msgstr ""
"POT-Creation-Date: 2021-07-26 12:08:06+01000\n"
"PO-Revision-Date: 2026-04-04 00:09+0000\n"
"Last-Translator: \"Francisco J. Miguel Quesada\" <fxmiguel@gmail.com>\n"
"Language-Team: Spanish <https://hosted.weblate.org/projects/jamovi/jys-i18n/"
"es/>\n"
"Language: es\n"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=UTF-8\n"
"Content-Transfer-Encoding: 8bit\n"
"Plural-Forms: nplurals=2; plural=n != 1;\n"
"X-Generator: Weblate 5.17-dev\n"

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

#: R\mcor.b.R
msgid "{ciWidth}% CI Lower"
msgstr "{ciWidth}% IC inferior"

#: R\mcor.b.R
msgid "{ciWidth}% CI Upper"
msgstr "{ciWidth}% IC superior"

#: R\mui.b.R
msgid "{varType} proposed decision"
msgstr "{varType} decisión propuesta"

#: R\mmf.b.R
msgid "{varType} with imputed values"
msgstr "{varType} con valores imputados"

#: R\mout.b.R
msgid "{varType} without outliers"
msgstr "{varType} sin valores extremos"

#: R\mcor.b.R
msgid "* p < .05, ** p < .01, *** p < .001, one-tailed"
msgstr "* p < 0,05 ; ** p < 0,01 ; *** p < 0,001, una cola"

#: R\mmf.b.R
msgid "**connection of a variable's observed data"
msgstr "**conexión de datos observados de una variable"

#: R\mmf.b.R
msgid "*connection of a variable's missingness indicator"
msgstr "*conexión de un indicador perdido de una variable"

#: 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 - La hipótesis de normalidad ha sido rechazada por el test Shapiro-"
"Wilk"

#: R\mmf.b.R
msgid "*pairwise complete observations"
msgstr "*observaciones completas apareadas"

#: 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; (tasa de error tipo I)"

#: 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>Ayuda</h2><div>Por favor, selecciona las variables completas e "
"incompletas</div>"

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

#: 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 - Especificidad"

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

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

#: 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 (estándar)"

#: 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 (estándar)"

#: 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 "una matriz de correlaciones"

#: package/analyses/mPWR.title package/analyses/mPWR.menuTitle
#: mPWR/options.title mPWR/ui.title mPWR/results.title
msgid "A Priori Power Analysis"
msgstr "Análisis de Potencia A Priori"

#: mPWR/results/powerTable.title
msgid "A Priori Power Analysis Results"
msgstr "Resultados del análisis de Potencia A Priori"

#: mROC/options/palBrewer/Accent.title
msgid "Accent"
msgstr "Acento"

#: mCOR/options/clustMet.title
msgid "Agglomeration method"
msgstr "Método de aglomeración"

#: mMF/options/alg.title
msgid "Algorythm"
msgstr "Algoritmo"

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

#: mCOR/options/plotOrder/alphabet.title
msgid "Alphabetical"
msgstr "Alfabético"

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

#: mMF/results/estim/fMARtab.description
msgid "an array of MARs"
msgstr "una formación de varias MAR"

#: mCOR/options/plotOrder/AOE.title
msgid "Angular order eigenvectors"
msgstr "Vectores propios de orden angular"

#: mCOR/options/clustMet/average.title
msgid "Average Linkage (UPGMA)"
msgstr "Enlace Promedio (UPGMA)"

#: R\mui.b.R
msgid "Balance"
msgstr "Balance"

#: R\mui.b.R
msgid ""
"Balance - balance between correct and incorrect classified (TP+TN)/(FP+FN)"
msgstr ""
"Balance - balance clasificado entre correcto e incorrecto (TP+TN)/(FP+FN)"

#: package/datasets/BC Models ROC Estimation.name
msgid "BC Models ROC Estimation"
msgstr "Estimación ROC de Modelos BC"

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

#: 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 "Binormal"

#: mROC/options/BW.title
msgid "Black & White"
msgstr "Blanco y Negro"

#: package/datasets/BC ROC classification.description
msgid "Blood cells multiple ROC Classification demonstration"
msgstr "Demostración de la clasificación ROC múltiple de células sanguíneas"

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

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

#: mOUT/options/boxpl.title mOUT/results/plots.title
msgid "Boxplots with outliers"
msgstr "Boxplots con valores atípicos"

#: mROC/options/palBrewer.title
msgid "Brewer's qualitative palette"
msgstr "Paleta cualitativa de Brewer"

#: mOUT/results/stat/outstat.description
msgid "Calculated fences for outliers"
msgstr "Vallas calculadas para valores atípicos"

#: R\mpwr.b.R
msgid "Calculated parameter: "
msgstr "Parámetro calculado: "

#: R\mpwr.b.R
msgid "Calculation error:"
msgstr "Error calculado:"

#: 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 - Tasa de Clasificación Correcta o precisión de las clasificaciones "
"positivas y negativas (TP+TN)/(TN+FP+FN+TP)"

#: mCOR/options/clustMet/centroid.title
msgid "Centroid Linkage (UPGMC)"
msgstr "Enlace centroide (UPGMC)"

#: package/datasets/CHD Models ROC Estimation.name
msgid "CHD Models ROC Estimation"
msgstr "Estimación ROC de modelos CHD"

#: mCOR/results/matrix.columns.content
msgid "CI Lower"
msgstr "CI Inferior"

#: mROC/options/ciMark.title
msgid "CI Mark"
msgstr "Marca CI"

#: mCOR/results/matrix.columns.content
msgid "CI Upper"
msgstr "CI Superior"

#: mROC/options/ciWidth.title
msgid "CI width"
msgstr "Ancho de CI"

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

#: mMF/results/estim/mars.title
msgid "Classify missing at random (MAR)"
msgstr "Clasificar ausentes al azar (MAR)"

#: mMF/results/estim/mcar.title
msgid "Classify missing completely at random (MCAR)"
msgstr "Clasificar los elementos ausentes completamente al azar (MCAR)"

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

#: mROC/options/theBest/bestC.title
msgid "Closest Best"
msgstr "Más cercano mejor"

#: mROC/options/theBest/bssC.title
msgid "Closest Best (Sp, Se)"
msgstr "Más cercano mejor (Sp, Se)"

#: mCOR/options/numClust.title
msgid "Clusters"
msgstr "Racimos"

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

#: mCOR/options/clustCol.title
msgid "Colored Clusters"
msgstr "Racimos Coloreados"

#: mCOR/options/clustMet/complete.title
msgid "Complete Linkage"
msgstr "Enlace Completo"

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

#: mMF/options/compinres.title
msgid "Complete variables in plots"
msgstr "Variables completas en gráficos"

#: R\mui.b.R
msgid "Concordance"
msgstr "Concordancia"

#: 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 ""
"Concordancia - C-Estadístico o AUC. La probabilidad de que un paciente con "
"la afección, elegido al azar, tenga una clasificación correcta más alta que "
"un paciente sin la afección, elegido al azar"

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

#: mROC/options/ciAUC.title mROC/ui[1]/ciAUC.label
msgid "Confidence interval"
msgstr "Intervalo de confianza"

#: mCOR/options/ci.title mCOR/ui[4][0]/tables/ci.label
msgid "Confidence interval (Pearson only)"
msgstr "Intervalo de confianza (solo Pearson)"

#: mCOR/options/ciWidth.title
msgid "Confidence interval width"
msgstr "Ancho del intervalo de confianza"

#: mCOR/options/hyp/corr.title
msgid "Correlated"
msgstr "Correlacionado"

#: mCOR/options/hyp/neg.title
msgid "Correlated negatively"
msgstr "Correlacionado negativamente"

#: mCOR/options/hyp/pos.title
msgid "Correlated positively"
msgstr "Correlacionado positivamente"

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

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

#: 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 "Agrupamiento de correlación"

#: package/datasets/Correlation clustering.description
msgid "Correlation Clustering demonstration"
msgstr "Demostración de agrupamiento por correlación"

#: mCOR/options/tables.title mCOR/options/plots.title mCOR/results/matrix.title
#: mCOR/results/plot.title
msgid "Correlation matrix"
msgstr "Matriz de correlación"

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

#: mMF/results/estim/cplot.title
msgid "Correlations between variables"
msgstr "Correlaciones entre variables"

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

#: mROC/options/palBrewer/Dark2.title
msgid "Dark2"
msgstr "Oscuro2"

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

#: mMF/results/estim/mcar.columns.title
msgid "Degree of Freedom (df)"
msgstr "Grado de Libertad (df)"

#: mPWR/options/design.title
msgid "Design"
msgstr "Diseño"

#: R\mpwr.b.R
msgid "Design: "
msgstr "Diseño: "

#: mUI/options/UImethod/noUI.title
msgid "Dichotomization (no uncertainty)"
msgstr "Dicotomización (sin incertidumbre)"

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

#: mUI/options/model.title
msgid "Distribution model"
msgstr "Modelo distributivo"

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

#: mPWR/options/calc/es.title
msgid "Effect size"
msgstr "Magnitud del efecto"

#: R\mpwr.b.R mPWR/results/powerTable.columns.title
msgid "Effect Size"
msgstr "Magnitud del efecto"

#: R\mpwr.b.R
msgid "Effect size measure: Cohen's d"
msgstr "Medida de magnitud del efecto: d de Cohen"

#: R\mpwr.b.R
msgid "Effect size measure: correlation coefficient (r)"
msgstr "Medida de magnitud del efecto: coeficiente de correlación (r)"

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

#: R\mmf.b.R
msgid "Empty data table"
msgstr "Tabla de datos vacía"

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

#: mMF/results/imput/errors.title
msgid "Estimated out-of-bag (OOB) imputation error"
msgstr "Error de imputación out-of-bag (OOB) estimada"

#: mMF/options/fullmars.title mMF/results/estim/fMARtab.title
msgid "Evaluation of MAR explainers"
msgstr "Evaluación de explicadores de MAR"

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

#: R\mmf.b.R
msgid ""
"Explanatory - variable corresponding to MAR with minimal p<sub>value</sub>."
msgstr ""
"Explicativa - variable correspondiendo con MAR con minimal p<sub>valor</sub>."

#: mCOR/options/plotOrder/FPC.title
msgid "First principal component"
msgstr "Primer componente principal"

#: mCOR/options/flag.title
msgid "Flag significant correlations"
msgstr "Indicador de correlación significante"

#: 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 ""
"Extensiones gráficas de la funcionalidad de los métodos de análisis de datos "
"más populares: árbol de conglomerados de variables correlacionadas, matriz "
"de correlación adaptativa multifactorial, curvas de clasificación ROC "
"multidimensionales, estimación e imputación de datos ausentes, "
"identificación y eliminación de valores atípicos, etc."

#: R\mout.b.R
msgid "Group"
msgstr "Grupo"

#: 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 "Variable de Agrupación"

#: R\mcor.b.R
msgid "Hₐ is negative correlation"
msgstr "Hₐ es correlación negativa"

#: R\mcor.b.R
msgid "Hₐ is positive correlation"
msgstr "Hₐ es correlación positiva"

#: package/datasets/HI ROC classification.description
msgid "Healthy/Ill ROC Classification demonstration"
msgstr "Demostración de Clasificación Salud/Enfermo ROC"

#: package/datasets/HI ROC classification.name
msgid "HI ROC classification"
msgstr "Clasificación ROC HI"

#: mCOR/options/hclust.title
msgid "Hierarchical clustering"
msgstr "Racimo jerárquico"

#: mCOR/results/treeplot.title
msgid "Hierarchical clustering tree"
msgstr "Árbol racimo jerárquico"

#: 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 "Hipótesis"

#: package/datasets/Outliers identification and removal.description
msgid "Identification, analysis and removal of data outliers by groups"
msgstr "Identificación, análisis y retirada de datos atípicos por grupos"

#: 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 ""
"Si al menos un p<sub>valor</sub> MAR no es significante, y el p<sub>valor</"
"sub> en MCAR es significante cuando los datos son MNAR (Missing Not At "
"Random)."

#: R\mmf.b.R
msgid "imp"
msgstr "imp"

#: R\mmf.b.R
msgid "Imputation model predictor"
msgstr "Predictor de modelo de imputación"

#: mMF/results/imputeOV.title
msgid "Imputed misses"
msgstr "Ausencia de imputados"

#: mROC/options/perc.title
msgid "In percent"
msgstr "En porcentaje"

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

#: R\mpwr.b.R mPWR/options/design/independent.title
msgid "Independent Samples (Student)"
msgstr "Muestras Independientes (Student)"

#: R\mpwr.b.R mPWR/options/design/welch.title
msgid "Independent Samples (Welch)"
msgstr "Muestras Independientes (Welch)"

#: R\mpwr.b.R mPWR/options/design/independent_np.title
msgid "Independent Samples (Wilcoxon)"
msgstr "Muestras Independientes (Wilcoxon)"

#: R\mout.b.R
msgid "Indices (Rows)"
msgstr "Índices (Filas)"

#: mMF/results/estim/fplot.title
msgid "Influx-outflux plot"
msgstr "Trama Influx-Outflux"

#: mMF/options/fluxplot.title
msgid "Influx-outflux plot for missing data patterns"
msgstr "Trama influx-outflux para patrones de datos ausentes"

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

#: mCOR/options/clustMat.title mCOR/results/rplots.title
msgid "Intercluster Matrices"
msgstr "Matrices Interracimo"

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

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

#: mUI/options/UImethod.title
msgid "Interval determination method"
msgstr "Método de determinación de intervalo"

#: mUI/ui[1].label mUI/results/stat.title
msgid "Intervals Estimation"
msgstr "Estimación de Intervalos"

#: mOUT/options/fence.title
msgid "IQR fence height"
msgstr "Altura de la valla IQR"

#: mOUT/options/outlcheck/IQR.title
msgid "IQR Tukey's fences"
msgstr "Vallas de IQR Tukey"

#: 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 "Funciones jYS Extendidas"

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

#: mCOR/results/matrix.columns.title mCOR/results/matrix.columns.content
msgid "Kendall Tau"
msgstr "Tau de Kendall"

#: mROC/options/legacy.title
msgid "Legacy format of Specificity axis"
msgstr "Formato heredado de ejes Especifidad"

#: mROC/options/legBox.title
msgid "Legend Box"
msgstr "Caja Leyenda"

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

#: mROC/options/lwd.title
msgid "Line width"
msgstr "Anchura de línea"

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

#: R\mout.b.R
msgid "Lower fence"
msgstr "Valla inferior"

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

#: R\mui.b.R
msgid "Lower threshold"
msgstr "Umbral inferior"

#: 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- - Razón de verosimilitud negativa (P(-|D+))/(P(-|D-)). Probabilidad de "
"que una persona con la afección reciba una clasificación negativa/"
"probabilidad de que una persona sin la afección reciba una clasificación "
"negativa"

#: 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+ - Razón de verosimilitud positiva (P(+|D+))/(P(+|D-)) La probabilidad de "
"que una persona con la afección reciba una clasificación positiva / "
"probabilidad de que una persona sin la afección reciba una clasificación "
"positiva"

#: mCOR/options/clustMan.title
msgid "Manual Clusters"
msgstr "Racimos Manual"

#: 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 - ausencia en aleatoridad (si cada p<sub>valor</sub> es significante, "
"hay evidencia de los datos es MAR);"

#: mMF/results/estim/mcar.description mMF/results/estim/mars.description
msgid "MAR classification table"
msgstr "Tabla de clasificación MAR"

#: mROC/options/mAst.title
msgid "Mark significance *<0.05, **<0.01, ***<0.001"
msgstr "Marcar significancia *<0.05, **<0.01, ***<0.001"

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

#: mMF/options/maxiter.title
msgid "Maximum number of iterations"
msgstr "Número máximo de iteraciones"

#: 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 - ausencia completamente al azar (si el p<sub>valor</sub> no es "
"significante, hay evidencia de datos es MCAR)."

#: mMF/options/isMAR.title
msgid ""
"MCAR (Missing Completely at Random) and MAR (Missing at Random) estimation"
msgstr ""
"MCAR (Ausencia Completamente al Azar) y estimación MAR (Ausencia al Azar)"

#: 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 "Enlace McQuitty (WPGMA)"

#: R\mout.b.R
msgid "Mean"
msgstr "Media"

#: R\mout.b.R
msgid "Median"
msgstr "Mediana"

#: mCOR/options/clustMet/median.title
msgid "Median Linkage"
msgstr "Enlace mediano"

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

#: mPWR/options/es.title mPWR/ui[1]/es.label
msgid "Minimally-interesting effect size"
msgstr "Magnitud del efecto mínimamente interesante"

#: R\mmf.b.R
msgid "Minimum {minVar} variables (Complete + Incomplete) are required"
msgstr "Se requieren un mínimo de {minVar} variables (Completo + Incompleto)"

#: R\mmf.b.R
msgid "Minimum 2 impute variables are required"
msgstr "Se requieren un mínimo de 2 variables de imputación"

#: mPWR/options/power.title mPWR/ui[1]/power.label
msgid "Minimum desired power"
msgstr "Potencia mínima deseada"

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

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

#: mMF/results/estim/plot.title
msgid "Missing data patterns"
msgstr "Ausentando patrones de datos"

#: mMF/results/estim/mcar.columns.title
msgid "Missing Patterns"
msgstr "Ausentando Patrones"

#: mMF/ui[1].label mMF/results/estim.title
msgid "Missing Values Estimation"
msgstr "Estimación de Valores Ausentes"

#: package/analyses/mMF.title package/analyses/mMF.menuTitle mMF/options.title
#: mMF/ui.title mMF/results.title
msgid "Missing Values Estimation and Imputation"
msgstr "Estimación e Imputación de Valores Ausentes"

#: package/datasets/Missing Values Imputation.name mMF/ui[2].label
#: mMF/results/imput.title
msgid "Missing Values Imputation"
msgstr "Imputación de Valores Ausentes"

#: package/datasets/Missing Values Imputation.description
msgid "Missing values imputation using the prediction power of Random Forests"
msgstr ""
"Imputación de valores ausentes utilizando la predicción de potencia en "
"Bosques Aleatorios"

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

#: mUI/options/isMD.title mUI/results/plotsMD.title
msgid "Mixed Densities"
msgstr "Densidades Mezcladas"

#: mOUT/options/outlcheck/mZS.title
msgid "Modified Z-score (Hampel filter)"
msgstr "Puntuación-Z modificada (filtro Hampel)"

#: mUI/options/isMCI.title mUI/results/stat/mcistat.title
msgid "More Certain Interval (MCI)"
msgstr "Intervalo Más Seguro (IMS)"

#: R\mui.b.R
msgid ""
"More Certain Interval (MCI) is interval outside the Uncertain Interval and "
"divide into low and high parts."
msgstr ""
"Intervalo Más Sguro (IMS) es intervalo externo al Intervalo Incierto y "
"divide en partes baja y alta."

#: R\mmf.b.R
msgid "MSE - mean squared error (for Continuous variables);"
msgstr "ECM - error cuadrático medio (para variables Continuas);"

#: mCOR/options/adjust.title
msgid "Multiple comparison correction"
msgstr "Corrección de comparación múltiple"

#: mMF/options/imputeOV.title
msgid "Multiple imputation for missing data"
msgstr "Imputación múltiple para datos ausentes"

#: 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 - número de valores imputados;"

#: R\mmf.b.R
msgid "N - number of missing values;"
msgstr "N - número de valores ausentes;"

#: R\mpwr.b.R mPWR/results/nEsCurve.title
msgid "N by Effect Size"
msgstr "N según Magnitud del efecto"

#: mPWR/options/n_es_curve.title
msgid "N by Effect Size Curve"
msgstr "N según Curva de magnitud del efecto"

#: mPWR/ui[1]/n.label
msgid "N for group 1"
msgstr "N para el grupo 1"

#: mPWR/options/calc/n.title
msgid "N per group"
msgstr "N según grupo"

#: mPWR/options/n.title
msgid "N per group (or pairs/sample)"
msgstr "N según grupo (o pares/muestra)"

#: 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 "No paramétrico"

#: 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 "Ninguno"

#: R\mout.b.R
msgid "Normality p-value"
msgstr "Normalidad p-valor"

#: R\mui.b.R
msgid "NPV - Negative Predictive Value of the negative class TN/(TN+FN)"
msgstr "VPN - Valor Predictivo Negativo de la clase negativa TN/(TN+FN)"

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

#: 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 ""
"Valores no ausentes del número de candidato para muestra desde el "
"significado de pasos predictivos coincididos. 0 para evitar este paso"

#: R\mmf.b.R
msgid "Number of missing entries"
msgstr "Número de apuntes ausentes"

#: R\mmf.b.R
msgid "Number of missing entries per variable"
msgstr "Número de apuntes ausentes por variable"

#: mMF/options/npat.title
msgid "Number of patterns"
msgstr "Número de patrones"

#: mMF/options/ntree.title
msgid "Number of trees to grow in each forest"
msgstr "Número de árboles para crecer en cada bosque"

#: R\mmf.b.R
msgid "observed"
msgstr "observado"

#: R\mpwr.b.R mPWR/options/design/one.sample.title
msgid "One Sample (Student)"
msgstr "Una Muestra (Student)"

#: R\mpwr.b.R mPWR/options/design/one.sample_np.title
msgid "One Sample (Wilcoxon)"
msgstr "Una Muestra (Wilcoxon)"

#: R\mpwr.b.R mPWR/options/design/onecor.title
msgid "One Sample Correlation (Pearson)"
msgstr "Correlación para Una Muestra (Pearson)"

#: R\mpwr.b.R mPWR/options/design/onecor_np.title
msgid "One Sample Correlation (Spearman)"
msgstr "Correlación para Una Muestra (Spearman)"

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

#: mMF/results/imput/errors.description
msgid "OOB errors table"
msgstr "Tabla de errores OOB"

#: mCOR/options/plotOrder/original.title
msgid "Original"
msgstr "Original"

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

#: R\mout.b.R
msgid "outl"
msgstr "perspectiva"

#: mOUT/options/outfence.title mOUT/results/stat/outstat.title
msgid "Outliers fences"
msgstr "Vallas de valores atípicos"

#: R\mout.b.R
msgid "Outliers found"
msgstr "Valores atípicos encontrados"

#: mOUT/ui[1].label mOUT/results/stat.title
msgid "Outliers identification"
msgstr "Identificación de valores atípicos"

#: package/datasets/Outliers identification and removal.name
msgid "Outliers identification and removal"
msgstr "Identificación y eliminación de valores atípicos"

#: mOUT/options/outlcheck.title
msgid "Outliers identifying method"
msgstr "Método de identificación de valores atípicos"

#: mOUT/options/outind.title mOUT/results/oind.title
msgid "Outliers indices"
msgstr "Índices de valores atípicos"

#: mOUT/ui[2].label
msgid "Outliers removal"
msgstr "Eliminación de valores atípicos"

#: mOUT/ui[1][1].label
msgid "Output information"
msgstr "Información de salida"

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

#: 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>valor</sub>"

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

#: R\mpwr.b.R mPWR/options/design/paired.title
msgid "Paired Samples (Student)"
msgstr "Muestras Emparejadas (Student)"

#: R\mpwr.b.R mPWR/options/design/paired_np.title
msgid "Paired Samples (Wilcoxon)"
msgstr "Muestras Emparejadas (Wilcoxon)"

#: mROC/options/palBrewer/Pastel1.title
msgid "Pastel1"
msgstr "Pastel1"

#: R\mmf.b.R
msgid "Pattern frequency"
msgstr "Frecuencia de patrón"

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

#: R\mcor.b.R
msgid "Pearson correlation cannot be calculated for non-numeric values"
msgstr ""
"La correlación de Pearson no puede ser calculada para valores no-numéricos"

#: mCOR/results/matrix.columns.title mCOR/results/matrix.columns.content
msgid "Pearson's r"
msgstr "r de Pearson"

#: R\mmf.b.R
msgid "per pattern"
msgstr "por patrón"

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

#: R\mmf.b.R
msgid ""
"PFC - proportion of falsely classified (for Nominal and Ordinal variables);"
msgstr ""
"PFC - proporción de clasificados falsamente (para variables nominales y "
"ordinales);"

#: mCOR/options/plotMetU/pie.title mCOR/options/plotMetL/pie.title
msgid "Pie"
msgstr "Tarta"

#: mUI/options/isTGR.title
msgid "Plot"
msgstr "Trama"

#: mMF/options/corplot.title
msgid "Plot correlations between variables"
msgstr "Trazar correlaciones entre variables"

#: mMF/ui[1][0][2].label
msgid "Plot options"
msgstr "Opciones de trama"

#: mMF/options/patplot.title
msgid "Plot the missing data patterns"
msgstr "Tramar los patrones de datos ausentes"

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

#: mROC/options/polygon.title
msgid "Polygon"
msgstr "Polígono"

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

#: R\mpwr.b.R mPWR/results/powerEsCurve.title
msgid "Power by Effect Size"
msgstr "Potencia según Magnitud del Efecto"

#: mPWR/options/power_es_curve.title
msgid "Power by Effect Size Curve"
msgstr "Potencia según Curva de Magnitud del Efecto"

#: 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 ""
"El cálculo de la Potencia para la correlación de Spearman es una "
"aproximación asintótica penalizada basada en la transformación Z de Fisher "
"(ARE = 0,912)."

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

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

#: R\mui.b.R
msgid "PPV - Positive Predictive Value of the positive class TP/(TN+FN)"
msgstr "PPV - Valor predictivo positivo de la clase positiva TP/(TN+FN)"

#: mMF/options/pmmk.title
msgid "Predictive Mean Matching (PMM) steps"
msgstr "Pasos del método de coincidencia predictiva de medias (PMM)"

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

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

#: R\mui.b.R
msgid "Prevalence"
msgstr "Predominio"

#: mUI/options/isProp.title mUI/results/stat/intstat.title
msgid "Proportions of Intervals"
msgstr "Proporciones de Intervalos"

#: mUI/options/decision.title mUI/results/decision.title
msgid "Proposed decision"
msgstr "Decisión propuesta"

#: mCOR/options/plots.description.ui
msgid "provide a correlation matrix plot."
msgstr "proporcionar una trama matricial de correlación."

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

#: R\mmf.b.R
msgid ""
"PVU - proportion of variance unexplained 1-R² (for Continuous variables);"
msgstr ""
"PVU - proporción de varianza no explicada 1-R² (para Variables Continuas);"

#: mUI/options/refval.title
msgid "Reference level"
msgstr "Nivel referencial"

#: mPWR/ui[1]/n_ratio.label
msgid "Relative size of group 2 to group 1"
msgstr "Tamaño relativo del grupo 2 respecto al grupo 1"

#: mOUT/options/remOut.title mOUT/results/remOut.title
msgid "Remove outliers"
msgstr "Retirar valores atípicos"

#: mCOR/options/plotOrder.title
msgid "Reorder"
msgstr "Reordenar"

#: mMF/options/setseed.title
msgid "Reproducible random number generation (RNG) results"
msgstr "Resultados de generación de números aleatorios reproducibles (RNG)"

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

#: mMF/options/seed.title
msgid "RNG seed value"
msgstr "Valor semillero RNG"

#: mROC/options/sepROC.title mROC/results/plots.title
msgid "ROC by groups"
msgstr "ROC por grupos"

#: mROC/results/plot.title
msgid "ROC by predictors"
msgstr "ROC por predictores"

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

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

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

#: package/datasets/BC Models ROC Estimation.description package/datasets/CHD
msgid "ROC estimation for binomial logistis models demonstration"
msgstr "Estimación ROC para demostración de modelos logísticos binomiales"

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

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

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

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

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

#: mCOR/options/clPos.title
msgid "Scale position"
msgstr "Posición escalada"

#: package/datasets/SDI ROC classification.name
msgid "SDI ROC classification"
msgstr "Clasificación ROC DSI"

#: R\mui.b.R
msgid ""
"Se - sensitivity of the positive and negative classifications TP/(TP+FN)"
msgstr ""
"Se - sensibilidad de las clasificaciones positivas y negativas TP/(TP+FN)"

#: mCOR/options/selgroup.title mROC/options/selgroup.title
msgid "Select group"
msgstr "Seleccionar grupo"

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

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

#: mUI/options/uiSe.title
msgid "Sensitivity inside UI <"
msgstr "Sensibilidad interna a UI <"

#: mUI/options/minSe.title
msgid "Sensitivity outside UI >"
msgstr "Sensibilidad externa UI >"

#: mROC/options/palBrewer/Set1.title
msgid "Set1"
msgstr "Conjunto1"

#: mROC/options/palBrewer/Set2.title
msgid "Set2"
msgstr "Conjunto2"

#: mROC/options/palBrewer/Set3.title
msgid "Set3"
msgstr "Conjunto3"

#: mCOR/options/plotMetU/shade.title mCOR/options/plotMetL/shade.title
msgid "Shade"
msgstr "Matiz"

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

#: R\mcor.b.R
msgid "Simultaneous multiple correlation comparisons using {n} method"
msgstr ""
"Comparaciones simultáneas de correlación múltiple utilizando método {n}"

#: mCOR/options/clustMet/single.title
msgid "Single Linkage"
msgstr "Enlace Único"

#: mMF/options/anghead.title
msgid "Slanted Titles"
msgstr "Títulos Inclinados"

#: R\mui.b.R
msgid "SNPV - standardized negative predictive value of the negative class"
msgstr "SNPV - valor predictivo negativo estandarizado de la clase negativa"

#: R\mui.b.R
msgid ""
"Sp - specificity of the positive and negative classifications TN/(TN+FN)"
msgstr ""
"Sp - especificidad de las clasificaciones positivas y negativas TN/(TN+FN)"

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

#: mCOR/results/matrix.columns.title mCOR/results/matrix.columns.content
msgid "Spearman's Rho"
msgstr "Rho de Spearman"

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

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

#: mUI/options/uiSp.title
msgid "Specificity inside UI <"
msgstr "Especificidad interna a UI <"

#: mUI/options/minSp.title
msgid "Specificity outside UI >"
msgstr "Especificidad externa de UI >"

#: package/datasets/SDI ROC classification.description
msgid "Sperm Deformity Index ROC Classification demonstration"
msgstr ""
"Demostración de la clasificación ROC del índice de deformidad de los "
"espermatozoides"

#: mROC/options/splitROC.title
msgid "Split curves"
msgstr "Curvas desglosadas"

#: mROC/results/splots.title
msgid "Splitted ROC by predictors"
msgstr "ROC dividida por predictores"

#: R\mui.b.R
msgid "SPPV - standardized positive predictive value of the positive class"
msgstr "SPPV - valor predictivo positivo estandarizado de la clase positiva"

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

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

#: R\mui.b.R
msgid "Sum"
msgstr "Sum"

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

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

#: mOUT/options/norm.title
msgid "Test for normality"
msgstr "Prueba de normalidad"

#: R\mpwr.b.R
msgid "The 'pwrss' package is not installed. Please install it in R."
msgstr "El paquete 'pwrss' no está instalado. Por favor, instalarlo en R."

#: mROC/options/theBest.title
msgid "The Best point on ROC"
msgstr "El Mejor punto en ROC"

#: 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 ""
"La variable clasificadora '{}' no tiene exactamente dos niveles; la "
"clasificación ROC sólo se puede realizar en variables clasificadoras con dos "
"niveles."

#: package/datasets/Uncertain Interval (UI).description
msgid "Three-Way threshold determination in test results"
msgstr "Determinación del umbral de tres vías en los resultados de las pruebas"

#: mOUT/options/tholdZS.title mOUT/options/tholdmZS.title
msgid "Threshold for Z-score"
msgstr "Umbral para puntuación-Z"

#: R\mui.b.R mUI/options/youden.title
msgid "Threshold on Youden"
msgstr "Umbral en Youden"

#: R\mmf.b.R
msgid "Total number of missing entries {}"
msgstr "Número total de {} apuntes ausentes"

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

#: mUI/options/UImethod/TGR.title mUI/results/plotsTGR.title
msgid "Two-graph ROC curves"
msgstr "Curvas ROC de dos grafos"

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

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

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

#: R\mui.b.R
msgid "UI"
msgstr "IU"

#: package/datasets/UI for binomial logistis models.name
msgid "UI for binomial logistis models"
msgstr "IU para modelos logísticos binomiales"

#: 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 "Intervalo incierto (IU)"

#: 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 ""
"El intervalo incierto (IU) se coloca alrededor del punto de intersección "
"entre las dos distribuciones con y sin el estado objetivo."

#: package/datasets/UI for binomial logistis models.description
msgid "Uncertain Interval estimation for binomial logistis models"
msgstr "Estimación de intervalos inciertos para modelos de logística binomial"

#: 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 ""
"Se considera intervalo incierto un rango de puntuaciones de pruebas que no "
"es concluyente y no garantiza una decisión correcta."

#: mUI/options/polygon.title
msgid "Uncertainty interval polygon"
msgstr "Polígono de intervalo de incertidumbre"

#: package/analyses/mOUT.title package/analyses/mOUT.menuTitle
#: mOUT/options.title mOUT/ui.title mOUT/results.title
msgid "Univariate outliers identification and removal"
msgstr "Identificación y retirada de valores atípicos univariados"

#: R\mout.b.R
msgid "Upper fence"
msgstr "Valla superior"

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

#: R\mui.b.R
msgid "Upper threshold"
msgstr "Umbral superior"

#: mPWR/results/powerTable.columns.superTitle
msgid "User Defined"
msgstr "Definido por el Usuario"

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

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

#: R\mmf.b.R
msgid "Variable name"
msgstr "Nombre de la variable"

#: mCOR/ui[5][0]/plots/clustMan.suffix
msgid "variable numbers by commas"
msgstr "números de variable por comas"

#: R\mmf.b.R
msgid "Variable to impute"
msgstr "Variable a imputar"

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

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

#: mCOR/options/clustMet/ward.D2.title
msgid "Ward´s D2 Linkage"
msgstr "Enlace D2 de Ward"

#: mCOR/options/clustMet/ward.D.title
msgid "Ward´s Linkage"
msgstr "Enlace de Ward"

#: mROC/options/cmpDeLong/wcontr.title
msgid "With control"
msgstr "Con control"

#: R\mmf.b.R
msgid "with missing data on other variables"
msgstr "con datos ausentes sobre otras variables"

#: R\mmf.b.R
msgid "with observed data on other variables"
msgstr "con datos observados sobre otras variables"

#: mROC/options/theBest/bestY.title
msgid "Youden Best"
msgstr "Youden Best"

#: mROC/options/theBest/bssY.title
msgid "Youden Best (Sp, Se)"
msgstr "Youden Best (Sp, Se)"

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

#~ msgid "Correlation Matrix"
#~ msgstr "Matriz de correlación"