/usr/share/hyphy/ChartAddIns/Distribution Moments is in hyphy-common 2.2.6+dfsg-3build3.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
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{
data_rows = Columns (SELECTED_CHART_ROWS);
if (data_rows % 2 == 0)
{
temp = -1;
data_columns = -1;
for (count = 0; count<data_rows; count = count+1)
{
temp2 = SELECTED_CHART_COLS[count];
if (temp<0)
{
temp = temp2;
}
else
{
if (temp!=temp2)
{
if (data_columns<0)
{
data_columns = temp2;
}
else
{
if (temp2!=data_columns)
{
break;
}
}
}
}
}
if ((count == data_rows)&&(data_columns>=0)&&(temp>=0))
{
for (count = 0; count < data_rows; count = count+2)
{
if (SELECTED_CHART_ROWS[count]!=SELECTED_CHART_ROWS[count+1])
{
break;
}
}
if (count==data_rows)
{
SELECTED_CHART_ROWS = {2,data_rows/2};
for (count = 0; count < data_rows; count = count+2)
{
SELECTED_CHART_ROWS[0][count/2]=SELECTED_CHART_DATA[count];
SELECTED_CHART_ROWS[1][count/2]=SELECTED_CHART_DATA[count+1];
}
SELECTED_CHART_DATA = SELECTED_CHART_ROWS;
data_rows = data_rows/2;
/* decide what the weight column is: weights or cum. distr and whether the 1st or the 2nd column has weights */
data_col = 0;
weight_col = 1;
rm1 = 0;
for (count = 0; count < data_rows; count = count + 1)
{
rm2 = SELECTED_CHART_DATA[weight_col][count];
if ((rm2<0)||(rm2>1))
{
break;
}
rm1 = rm1 + SELECTED_CHART_DATA[weight_col][count];
}
if (Abs(rm1-1)>=0.00001 && Abs(rm2-1) >= 0.00001)
{
data_col = 1;
weight_col = 0;
for (count = 0; count < data_rows; count = count + 1)
{
rm2 = SELECTED_CHART_DATA[weight_col][count];
if ((rm2<0)||(rm2>1))
{
fprintf (stdout, "Weight column must contain numbers between 0 and 1.\n");
return;
}
rm1 = rm1 + SELECTED_CHART_DATA[weight_col][count];
}
}
if (Abs(rm1-1)<0.00001)
/* weights */
{
rm1 = 0;
rm2 = 0;
rm3 = 0;
rm4 = 0;
for (count = 0; count < data_rows; count = count + 1)
{
temp = SELECTED_CHART_DATA[weight_col][count]*SELECTED_CHART_DATA[data_col][count];
rm1 = rm1 + temp;
rm2 = rm2+temp*SELECTED_CHART_DATA[data_col][count];
rm3 = rm3+temp*(SELECTED_CHART_DATA[data_col][count])^2;
rm4 = rm4+temp*(SELECTED_CHART_DATA[data_col][count])^3;
}
}
else
{
if (Abs(rm2-1)<0.00001)
/* cum distr */
{
rm1 = SELECTED_CHART_DATA[weight_col][0]*SELECTED_CHART_DATA[data_col][0];
rm2 = rm1*SELECTED_CHART_DATA[data_col][0];
rm3 = rm2*SELECTED_CHART_DATA[data_col][0];
rm4 = rm3*SELECTED_CHART_DATA[data_col][0];
for (count = 1; count < data_rows; count = count + 1)
{
temp = SELECTED_CHART_DATA[weight_col][count]-SELECTED_CHART_DATA[weight_col][count-1];
temp = temp*SELECTED_CHART_DATA[data_col][count];
rm1 = rm1 + temp;
temp = temp*SELECTED_CHART_DATA[data_col][count];
rm2 = rm2+temp;
temp = temp*SELECTED_CHART_DATA[data_col][count];
rm3 = rm3+temp;
rm4 = rm4+temp*SELECTED_CHART_DATA[data_col][count];
}
}
else
{
fprintf (stdout, "Weight column is neither a collection of weights nor a cumulative probability.\n");
return;
}
}
var_value = rm2-rm1*rm1;
fprintf (stdout, "\nMean = ", rm1,
"\nVariance = ", var_value,
"\nSkewness = ", (2*rm1^3-3*rm1*rm2+rm3)/var_value^1.5,
"\nKurtosis = ", (6*rm1^2*rm2-3*rm1^4-4*rm1*rm3+rm4)/var_value^2,
"\n");
return;
}
}
}
fprintf (stdout, "Please select two columns with distribution values (1st column) and weights (2nd columns).\n");
}
else
{
NON_EMPTY_SELECTION = -1;
}
|