added quick summary to see sig meds just before writing file
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17aebc26e8
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1562a09631
8 changed files with 63 additions and 29 deletions
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@ -71,8 +71,8 @@ foo = lf_t1[which(is.na(lf_t1$value)),]
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lf_t1_comp = lf_t1[-which(is.na(lf_t1$value)),]
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stats_un_t1 = compare_means(value~obesity
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, group.by = "mediator"
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, data = lf_t1
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#, data = lf_t1_comp
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#, data = lf_t1
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, data = lf_t1_comp
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, paired = FALSE
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, p.adjust.method = my_adjust_method)
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@ -368,9 +368,23 @@ colnames(combined_unpaired_stats_f) = c("mediator"
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, "p_bon_signif")
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colnames(combined_unpaired_stats_f)
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#---------------
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# quick summary
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#---------------
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# count how many meds are significant
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n_sig = length(combined_unpaired_stats_f$mediator[combined_unpaired_stats_f$p_signif<0.05 & !is.na(combined_unpaired_stats_f$p_signif<0.05)])
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sig_meds = combined_unpaired_stats_f[(combined_unpaired_stats_f$p_signif<0.05 & !is.na(combined_unpaired_stats_f$p_signif<0.05)),]
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sig_meds$med_time = paste0(sig_meds$mediator, "@", sig_meds$timepoint)
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cat("\nTotal no. of statistically significant mediators in", toupper(my_sample_type)
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, "are:", n_sig
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, "\nThese are:", sig_meds$med_time)
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#######################################################################
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#******************
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# write output file
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#******************
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cat("UNpaired stats for groups will be:", flu_stats_time_unpaired)
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write.csv(combined_unpaired_stats_f, flu_stats_time_unpaired, row.names = FALSE)
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cat("\nUNpaired stats for groups will be:", flu_stats_time_unpaired)
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#write.csv(combined_unpaired_stats_f, flu_stats_time_unpaired, row.names = FALSE)
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