first commit

JuliaTutorial-master/Data/CsvFile.csv

@@ -0,0 +1,3 @@
+X,Y,Z
+1.1,1.2,1.3
+2.1,2.2,2.3

JuliaTutorial-master/Data/CsvFileWithDates.csv

@@ -0,0 +1,16 @@
+,GSPC,DTB3
+02/01/1979,96.730003,
+03/01/1979, ,9.31
+04/01/1979,98.580002,9.31
+05/01/1979,99.129997,9.34
+08/01/1979,98.800003,9.36
+09/01/1979,99.330002,9.27
+10/01/1979,98.769997,9.25
+11/01/1979,99.099998,9.28
+12/01/1979,99.93,9.35
+15/01/1979,100.690002,9.44
+16/01/1979,99.459999,9.44
+17/01/1979,99.480003,9.44
+18/01/1979,99.720001,9.46
+19/01/1979,99.75,9.4
+22/01/1979,99.900002,9.34

JuliaTutorial-master/Data/FileWithText.txt

@@ -0,0 +1,6 @@
+Dogs are nicer
+than cats.
+          
+      This
+      is a
+fairly short file.

JuliaTutorial-master/Data/MyData.csv

@@ -0,0 +1,389 @@
+date,Mkt_RF,RF,SmallGrowth
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JuliaTutorial-master/Data/My_C_Stuff.c

@@ -0,0 +1,23 @@
+#include <stddef.h>
+
+// calculate the inner (dot) product of vectors Y and Y, returns the result (Sxy)
+double c_dot(size_t n, double *Y, double *X) {
+    double Sxy = 0.0;
+    for (size_t i = 0; i < n; ++i) {
+        Sxy += X[i]*Y[i];
+    }
+    return Sxy;
+}
+
+// calculate a simple regression, Y = a + b*X + u, puts (a,b) in vector ab, returns nothing
+void c_ols(size_t n, double *Y, double *X, double *ab) {
+    double Sx = 0.0, Sy = 0.0, Sxx = 0.0, Sxy = 0.0;
+    for (size_t i = 0; i < n; ++i) {
+        Sx  += X[i];
+        Sy  += Y[i];
+        Sxx += X[i]*X[i];
+        Sxy += X[i]*Y[i];
+    }
+    ab[1] = (Sxy-Sx*Sy/n)/(Sxx-Sx*Sx/n);   //slope
+    ab[0] = (Sy - ab[1]*Sx)/n;             //intercept
+}