Fixed issue when only one timestamp at midnight exists. Fixes Issue t…

…witter#29
owenvallis · Apr 1, 2015 · 507c947 · 507c947
1 parent adcb6ff
commit 507c947
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diff --git a/R/ts_anom_detection.R b/R/ts_anom_detection.R
@@ -320,6 +320,9 @@ AnomalyDetectionTs <- function(x, max_anoms = 0.10, direction = 'pos',
 
   }
 
+  # Fix to make sure date-time is correct and that we retain hms at midnight
+  all_anoms[[1]] <- format(all_anoms[[1]], format="%Y-%m-%d %H:%M:%S")
+
   # Store expected values if set by user
   if(e_value) {
     anoms <- data.frame(timestamp=all_anoms[[1]], anoms=all_anoms[[2]], expected_value=subset(seasonal_plus_trend[[2]], as.POSIXlt(seasonal_plus_trend[[1]], tz="UTC") %in% all_anoms[[1]]))

diff --git a/R/vec_anom_detection.R b/R/vec_anom_detection.R
@@ -271,6 +271,9 @@ AnomalyDetectionVec = function(x, max_anoms=0.10, direction='pos', alpha=0.05, p
     xgraph <- xgraph + add_formatted_y(yrange, y_log=y_log)
   }
 
+  # Fix to make sure date-time is correct and that we retain hms at midnight
+  all_anoms[[1]] <- format(all_anoms[[1]], format="%Y-%m-%d %H:%M:%S")
+
   # Store expected values if set by user
   if(e_value) {
     anoms <- data.frame(index=all_anoms[[1]], anoms=all_anoms[[2]], expected_value=subset(seasonal_plus_trend[[2]], seasonal_plus_trend[[1]] %in% all_anoms[[1]]))