DataSet Construction: Difference between revisions
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Alternatively this can be acheived by dragging the desired file into the Workspace Browser. In the case of text based file formats such as CSV, this will launch the following window. | Alternatively this can be acheived by dragging the desired file into the Workspace Browser. In the case of text based file formats such as CSV, this will launch the following window. | ||
[[Image:Text Import.png|left|320px]] This window will allow the user to choose options specefic to this file, such as the number of header rows to ignore, and which delimiter to use. <br clear=all> | [[Image:Text Import.png|left|320px]] This window will allow the user to choose options specefic to this file, such as the number of header rows to ignore, and which delimiter to use. Clicking OK will launch the data import tool. <br clear=all> | ||
==From the MATLAB Command Line== | ==From the MATLAB Command Line== |
Revision as of 11:31, 23 May 2016
Getting Started
In general, data is stored in a dataset object.
From a GUI
Using PLS_Toolbox and Solo, it is easy to import data into a dataset object using the data importer. From the workspace browser select File/Import Data to launch the GUI.
Alternatively this can be acheived by dragging the desired file into the Workspace Browser. In the case of text based file formats such as CSV, this will launch the following window.
This window will allow the user to choose options specefic to this file, such as the number of header rows to ignore, and which delimiter to use. Clicking OK will launch the data import tool.
From the MATLAB Command Line
From the command line, the easiest way to create a dataset is to pass an array to the dataset function. First we will create an array of data to be passed to the dataset function.
>> t = [0:0.1:10]'; >> x = [cos(t) sin(t) exp(-t)]; >> data = dataset(x) data = name: x type: data date: 23-May-2016 11:24:53 moddate: 23-May-2016 11:24:53 data: 101x3 [double] label: {2x1} [array (char)] Mode 1 [: ] Mode 2 [: ] axisscale: {2x1} [vector (real)] (axistype) Mode 1 [: ] (none) Mode 2 [: ] (none) title: {2x1} [vector (char)] Mode 1 [: ] Mode 2 [: ] class: {2x1} [vector (double)] Mode 1 [: ] Mode 2 [: ] classid: {2x1} [cell of strings] include: {2x1} [vector (integer)] Mode 1 [: 1x101] Mode 2 [: 1x3] history: {1x1 cell} [array (char)] OTHER: [View Class Summary]
Alternatively we could start with an empty dataset and assign the the array x to its data field.
newdata = dataset; newdata.data = x;
Similarly we may set the other fields of the dataset object individually.
vars = {'cos(t)';'sin(t)';'exp(-t)'}; newdata.author = 'Data Manager'; %sets the author field newdata.label{2} = vars; %sets the labels for columns = dimension 2 newdata.labelname{2} = 'Variables'; %sets the name of the label for columns newdata.axisscale{1} = t; %sets the axis scale for rows = dimension 1 newdata.axisscalename{1} = 'Time'; %sets the name of the axis scale for rows newdata.title{1} = 'Time (s)'; %sets the title for rows newdata.titlename{1} = 'Time Axis'; %sets the titlename for rows newdata.title{2} = 'f(t)'; %sets the title for columns newdata.titlename{2} = 'Functions'; %sets the titlename for columns
Creating 3-Way Data
Perhaps the easiest way to import 3-way data is to use the import data GUI.