Index: /trunk/psLib/src/dataManip/psStats.c
===================================================================
--- /trunk/psLib/src/dataManip/psStats.c	(revision 1329)
+++ /trunk/psLib/src/dataManip/psStats.c	(revision 1330)
@@ -29,5 +29,5 @@
 #define true 1
 #define false 0
-#define MYMAXFLOAT HUGE
+#define MY_MAX_FLOAT HUGE
 #define MAX_ITERATIONS 20
 
@@ -268,5 +268,5 @@
 {
     int i = 0;                                  // Loop index variable
-    float max = -MYMAXFLOAT;                    // The calculated maximum
+    float max = -MY_MAX_FLOAT;                    // The calculated maximum
     float rangeMin = 0.0;                       // Exclude data below this
     float rangeMax = 0.0;                       // Exclude date above this
@@ -333,5 +333,5 @@
 {
     int i = 0;                                  // Loop index variable
-    float min = MYMAXFLOAT;                     // The calculated maximum
+    float min = MY_MAX_FLOAT;                     // The calculated maximum
     float rangeMin = 0.0;                       // Exclude data below this
     float rangeMax = 0.0;                       // Exclude date above this
Index: /trunk/psLib/src/math/psStats.c
===================================================================
--- /trunk/psLib/src/math/psStats.c	(revision 1329)
+++ /trunk/psLib/src/math/psStats.c	(revision 1330)
@@ -21,5 +21,4 @@
 /* DEFINE STATEMENTS                                                         */
 /*****************************************************************************/
-#define DEFAULT_ROBUST_SIZE_THRESHOLD 30000   // Vectors that are large than this
 // will use robust statistical methods.
 #define GAUSS_WIDTH 20                  // The width of the Gaussian or boxcar smoothing.
@@ -1584,5 +1583,5 @@
     newStruct->sampleUQ = NAN;
     newStruct->sampleLQ = NAN;
-    newStruct->sampleLimit = DEFAULT_ROBUST_SIZE_THRESHOLD;
+    newStruct->sampleLimit = 30000;
     newStruct->robustMean = NAN;
     newStruct->robustMedian = NAN;
