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ifiguero 2025-01-18 23:30:55 -03:00
parent 53f49f8f2a
commit 22787163d0
1 changed files with 2 additions and 2 deletions
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load_dataset.py
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@ -79,7 +79,7 @@ def analisis_univariado(dfi, target=None, continuas=[], discretas=[]):
resultsmody.append([
var, " ", f"{median1:.1f} ({ql1:.1f} - {qr1:.1f})", f"{median1:.1f} ({ql2:.1f} - {qr2:.1f})",
f"{t_pval:.3f}", ("*" if t_pval < 0.05 else "NS"), f"{mediang:.1f} ({qlg:.1f} - {qrg:.1f})"
f"{t_pval:.3f}", ("*" if mw_pval < 0.05 else "NS"), f"{mediang:.1f} ({qlg:.1f} - {qrg:.1f})"
])
# Análisis de variables discretas
@ -107,7 +107,7 @@ def analisis_univariado(dfi, target=None, continuas=[], discretas=[]):
totf = 100 * tot / len(dfi[var])
resultsmody.append([
var, " ", f"{percentages[0][1]:.1f} ({freq_table[0][1]}/{len(group1)})", f"{percentages[1][1]:.1f} ({freq_table[1][1]}/{len(group2)})"
f"{t_pval:.3f}", ("*" if t_pval < 0.05 else "NS"), f"{totf:.1f} ({tot}/{len(dfi[var])})"
f"{t_pval:.3f}", ("*" if fisher_pval < 0.05 else "NS"), f"{totf:.1f} ({tot}/{len(dfi[var])})"
])
# Crear DataFrame con los resultados