The DataManager

The DataManager allows you to view and edit your data.

The DataManager displays the name, type, size and range of each dataset.

The DataManager can also be used for:

  • Reading and Writing Data
  • Interpolating Data

Contents:

The DataManager Menus

File Menu
Open ... Display the File Open Dialog
Save ... Display the File Save Dialog
Reset Folders Reset all folders
Reset Interpolations Reset all interpolations
Close Close the DataManager
Edit Menu
Editor ... Edit the selected dataset
Create Folder Create a new folder
Delete Delete the selected dataset
Delete Folder Delete the current folder
Paste from Excel Paste selection from Excel clipboard
Interpolate Menu
Spline ... Create data using spline interpolation
Smooth ... Create data using smoothing techniques
Polynomial ... Fit data to a polynomial
Bivariate ... Interpolate scattered data onto a grid using bivariate interpolation.
Bilinear ... Interpolate scattered data onto a grid using bilinear interpolation.
Regular ... Resample a grid dataset onto a different sized grid.
Help Menu
On DataManager Show this page
On Functions ... Show On-line help for GSL Functions

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The DataManager Toolbar

Open Display File Open Dialog
Save Display File Save Dialog
Editor Edit the selected dataset
Paste from Excel Paste selection from Excel clipboard

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The Dataset Overview

Datasets can be selected by left clicking on the dataset name.

There are four types of data - string, float, date and time.

The size is given as [numrows, numcols, numplanes]. If the number of planes is one then only [numrows, numcols] is given. If the number of columns is also one then just [numrows] is given.

The range is only given for float datasets.

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The GSL Command Line

The GSL command line is used for entering single GSL commands. More complex GSL scripts can be created in the ScriptBuilder.

Some examples of possible commands:

Command Description
x=1:10 x = 1, 2, 3, ... 10
xgrid = range(x,33); xgrid is 33 equally spaced values with the same range as x
y2 = sin(y); y2 is the sine of y
y = if(y<0,0,y); All values of y less than 0 become 0
boys_marks = mask(marks, sex="m") boys_marks are all the values of marks, where the corresponding value of sex was "m"
oddrows = slicex(z,1//3//5//7//9); take rows 1, 3, 5, 7 and 9 from z
evenrows = dropx(z,1//3//5//7//9); drop rows 1, 3, 5, 7 and 9 from z
grid = reshape(z,30,30,1) The 900 values of z are transformed into a 30 by 30 grid dataset
grid = if(grid=-1,undef,grid) All values of -1 in grid are replaced with undef
grid = slicex(grid,30:1) reverse the order of rows in grid.
y = sortby(y,x);
x = sort(x) 		Sort the values in x and y, based on the values in x

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