Grace/C3/Data-Fitting/English - Revision history

PoojaMoolya at 10:45, 28 October 2020

2020-10-28T10:45:42Z

Madhurig at 13:18, 3 December 2019

2019-12-03T13:18:33Z

Madhurig at 13:05, 3 December 2019

2019-12-03T13:05:33Z

Madhurig at 05:43, 3 December 2019

2019-12-03T05:43:57Z

Madhurig at 13:10, 2 December 2019

2019-12-02T13:10:53Z

Ranipv076 at 12:16, 29 November 2019

2019-11-29T12:16:19Z

Ranipv076 at 12:15, 29 November 2019

2019-11-29T12:15:41Z

Ranipv076 at 10:14, 29 November 2019

2019-11-29T10:14:35Z

Madhurig at 09:02, 29 November 2019

2019-11-29T09:02:38Z

Ranipv076 at 08:25, 29 November 2019

2019-11-29T08:25:09Z

@@ Line 58: / Line 58: @@
 |-
-|| Show screenshot of '''Grace read-sets''' dialogue box.
+|| Show screenshot of '''Grace read-sets''' dialog box.
 || Next, open the '''Grace''' program and load this file to plot an '''XY''' graph.
@@ Line 103: / Line 103: @@
 || Choose '''Regression''' from the list.
-A '''Regression''' dialogue box opens.
+A '''Regression''' dialog box opens.
 |-
@@ Line 172: / Line 172: @@
 |-
 || Click on '''Apply''' and click to '''close'''.
-|| Click on '''Apply''' and then click on '''Close''' to close the dialogue box.
+|| Click on '''Apply''' and then click on '''Close''' to close the dialog box.
 |-
@@ Line 313: / Line 313: @@
 |-
 || Click on '''Close'''.
-|| Then '''Close''' the dialogue box.
+|| Then '''Close''' the dialog box.
 |-
-|| Show screenshot of '''save as''' dialogue box with name filled in as '''regression.agr'''.
+|| Show screenshot of '''save as''' dialog box with name filled in as '''regression.agr'''.
 || Now save the project in the '''Desktop''' directory.

@@ Line 37: / Line 37: @@
 || * Data fitting is a process to find a mathematical relation between two variables.
 * An equation is used to describe the XY dataset pair.
 * Using an iterative process, the coefficients are optimized.
 * The process returns the best possible coefficients for the equation.
@@ Line 81: / Line 86: @@
 |-
-|| '''Slide Number 6'''
+|| '''Slide Number 7'''
 '''Equation in two variables'''
 || A straight line is described by an equation in two variables,
@@ Line 325: / Line 330: @@
 |-
-|| '''Slide Number 7'''
+|| '''Slide Number 8'''
 '''Summary'''
 || In this tutorial we,
@@ Line 334: / Line 339: @@
 |-
-|| '''Slide Number 8'''
+|| '''Slide Number 9'''
 '''Assignment'''
 || For assignment activity, please do the following.
@@ Line 340: / Line 345: @@
 (parabola1.txt & parabola2.txt)
 * Plot them in the same graph panel.
-* Perform Quadratic regression on the '''parabola1.txt''' file.
+* Perform quadratic regression on the '''parabola1.txt''' file.
 |-
-|| '''Slide Number 9'''
+|| '''Slide Number 10'''
 '''Assignment'''
 ||
@@ Line 355: / Line 360: @@
 |-
-|| '''Slide Number 10'''
+|| '''Slide Number 11'''
 '''Spoken Tutorial Project'''
 || This video summarizes the '''Spoken Tutorial Project'''.
@@ Line 361: / Line 366: @@
 |-
-|| '''Slide Number 11'''
+|| '''Slide Number 12'''
 '''Spoken Tutorial workshops'''
 || The '''Spoken Tutorial Project''' team:
@@ Line 369: / Line 374: @@
 |-
-|| '''Slide Number 12'''
+|| '''Slide Number 13'''
 '''Forum for specific questions:'''
 || Please post your timed queries in this forum.
 |-
-|| '''Slide Number 13'''
+|| '''Slide Number 14'''
 '''Acknowledgement'''
 || Spoken Tutorial Project is funded by '''NMEICT, MHRD''', Government of India.

@@ Line 62: / Line 62: @@
 |-
 || Hover mouse over the data.
-|| The data points look scattered around a straight line.
+|| Next I will format the plot.
-−
 Next I will format the plot.
 |-
@@ Line 168: / Line 166: @@
 |-
-|| Click on '''accept''' and click to '''close'''.
+|| Click on '''Apply''' and click to '''close'''.
-|| Click on '''Apply''' and then click on '''Close''' to close the text box.
+|| Click on '''Apply''' and then click on '''Close''' to close the dialogue box.
 |-
@@ Line 192: / Line 190: @@
 || Right-click, select Edit, '''In spreadsheet '''option.
 || Right click to open the context menu.
 Select '''Edit''', and in '''In spreadsheet''' option.
@@ Line 200: / Line 199: @@
 || Notice the x and corresponding fitted y values of the fitted data.
-These values are different from the input data .
+These values are different from the input data.
 |-
@@ Line 319: / Line 318: @@
 |-
 || Press '''Ctrl+Q'''
-|| Press '''Control Q''' or Click on '''File , Exit''' to exit '''Grace'''.
+|| Press '''Control Q''' or Click on '''File, Exit''' to exit '''Grace'''.
 |-
@@ Line 328: / Line 327: @@
 || '''Slide Number 7'''
 '''Summary'''
-|| In this tutorial we learnt to,
+|| In this tutorial we,
-* Performed data fitting of a straight line.
+* Performed data fitting for a straight line.
-* Added two datasets to a graph panel.
+* Added two datasets in the graph panel.
 * Added legends to the plot and
 * Formatted the legend properties.

@@ Line 21: / Line 21: @@
 || To record this tutorial, I am using
 * '''Ubuntu Linux''' 16.04 OS
-* '''Grace''' 5.1.25
+* '''Grace''' 5.1.25 and
 * '''Gedit''' 3.18.3
@@ Line 47: / Line 47: @@
 || Hover mouse over file, '''line-fit.txt'''.
 || Notice the file, '''line-fit.txt'''.
 This file is provided to you in the '''Code Files''' link.
 I have downloaded, extracted and saved the file to the '''Desktop''' directory.
@@ Line 61: / Line 63: @@
 || Hover mouse over the data.
 || The data points look scattered around a straight line.
 Next I will format the plot.
@@ Line 70: / Line 73: @@
 || Move the cursor along the data points.
 || The data points do not lie on a straight line.
 The data points look scattered around a straight line.
@@ Line 103: / Line 107: @@
 || Choose the data set of interest from '''Apply to set'''.
-Currently only a single set is loaded and it is shown as ('''S0''').
+Currently only a single set is loaded and it is shown as '''S0'''.
 The next number is the number of points that are present in the dataset.
@@ Line 115: / Line 119: @@
 |-
 || for '''Load''', choose '''Fitted values'''.
-|| In the '''Load '''drop-down, choose '''Fitted values'''.
+|| In the '''Load''' drop-down, choose '''Fitted values'''.
 |-
@@ Line 130: / Line 134: @@
 I will leave it as is and will not make changes here.
 Click on '''Accept''' to run the data fitting.
@@ Line 135: / Line 140: @@
 || Show the '''Grace console''' window, and output values.
 || The data fitting algorithm runs.
 A '''Grace console''' window appears with mathematical details.
@@ Line 140: / Line 146: @@
 || Scroll in the '''Console''' window to show the values.
 || We can see the equation used for the fitting.
 The output values of residual, slope, intercept and other parameters are seen.
@@ Line 145: / Line 152: @@
 || Show on screen '''S(1)''' dataset showing in panel.
 || The fitted line appears on the screen.
 The fitted values are loaded in a different set, '''S1'''.
 |-
 || Click on '''File''', '''Save'''.
-|| Click on '''File,''' '''Save''' to save the parameters.
+|| Click on '''File''', '''Save''' to save the parameters.
 |-
@@ Line 178: / Line 186: @@
 |-
 || In select set form, select ('''S1''') data set.
-|| In the '''select set''' form, select ('''S1''') data set.
+|| In the '''select set''' form, select '''S1''' data set.
 This is the fitted data.
@@ Line 185: / Line 193: @@
 || Right click to open the context menu.
 Select '''Edit''', and in '''In spreadsheet''' option.
 The '''Grace: Spreadsheet dataset editor''' appears.
@@ Line 190: / Line 199: @@
 || Hover mouse over x and y columns.
 || Notice the x and corresponding fitted y values of the fitted data.
 These values are different from the input data .
@@ Line 203: / Line 213: @@
 || Hover mouse over the two datasets.
 || The original data set and the fitted values are the 2 datasets in the graph.
 Datasets are labeled as ['''S0'''] for first set and ['''S1'''] for the second set.
@@ Line 212: / Line 223: @@
 |-
-|| Click on '''Close''' on the spreadsheet dataset editor and cursor on the interface.
+|| Cursor on the plot window.
-|| Close the Spreadsheet dataset editor.
+|| Next, we will add legends to the plot.
-−
 Next, we will add legends to the plot.
 |-
@@ Line 264: / Line 273: @@
 || Open '''Graph appearance, Legend''' tab.
 || Next, open the '''Graph appearance''' window.
 In the window, click on the '''Legends''' tab, to format the '''legend''' fonts.
@@ Line 269: / Line 279: @@
 || Move size slider to 70.
 || Under the '''text properties''', move the character size slider to 70.
 The legends look very large compared to the graph.
 |-
@@ Line 279: / Line 290: @@
 |-
-|| Click on the '''legend '''tab.
+|| Click on the '''legend box'''tab.
 || Click on the '''legend box''' tab.
@@ Line 303: / Line 314: @@
 || Show screenshot of '''save as''' dialogue box with name filled in as '''regression.agr'''.
 || Now save the project in the '''Desktop''' directory.
 I will use the file name '''regression dot agr'''.
@@ Line 316: / Line 328: @@
 || '''Slide Number 7'''
 '''Summary'''
-|| In this tutorial, we,
+|| In this tutorial we learnt to,
 * Performed data fitting of a straight line.
 * Added two datasets to a graph panel.

@@ Line 47: / Line 47: @@
 || Hover mouse over file, '''line-fit.txt'''.
 || Notice the file, '''line-fit.txt'''.
-This file is provided to you in the '''codefiles''' link.
+This file is provided to you in the '''Code Files''' link.
 I have downloaded, extracted and saved the file to the '''Desktop''' directory.
@@ Line 70: / Line 70: @@
 || Move the cursor along the data points.
 || The data points do not lie on a straight line.
-They are spread around an imaginary line, in the xy plane.
+The data points look scattered around a straight line.
 |-
 || Cursor on the graph.
-|| Next, we will fit this data to a straight line.
+|| We will fit this data to a straight line.
 For a straight line, this is process is called '''linear regression'''.
@@ Line 81: / Line 82: @@
 '''Equation in two variables'''
 || A straight line is described by an equation in two variables,
 The equation has the form,y equals mx+c .
 Here, m is the slope of the line and c is the intercept.
@@ Line 92: / Line 95: @@
 || Choose '''Regression'''.
 || Choose '''Regression''' from the list.
 A '''Regression''' dialogue box opens.
@@ Line 98: / Line 102: @@
 Choose dataset '''(S0)'''.
 || Choose the data set of interest from '''Apply to set'''.
 Currently only a single set is loaded and it is shown as ('''S0''').
 The next number is the number of points that are present in the dataset.
@@ Line 104: / Line 110: @@
 || Choose '''linear''' for '''Type of fit'''.
 || If many datasets are loaded more sets will be seen, in the '''Apply to set''' box.
 Choose '''linear''' for '''Type of fit'''.
@@ Line 113: / Line 120: @@
 || For '''restrictions''' choose '''None'''.
 || For '''restrictions''' choose '''None'''.
 If only part of the data set needs to be fitted, enter the required range.
 |-
 || Hover mouse over '''start load at''' and '''stop load at''' values.
 Click on '''Accept'''.
 || We can also specify the '''start load at''' and '''stop load at''' values in the form.
 I will leave it as is and will not make changes here.
 Click on '''Accept''' to run the data fitting.

@@ Line 1: / Line 1: @@
 {|border=1
 ||'''Visual Cue'''
-|-
+||'''Narration'''
 || '''Visual Cue'''
 || '''Narration'''
 |-
@@ Line 201: / Line 198: @@
 || Cursor on the graph.
 || We can add more datasets to this graph panel.
-  For this load the data using the '''Data, import, ASCII''' option from the menu.
 |-
 || Click on '''Close''' on the spreadsheet dataset editor and cursor on the interface.
 || Close the Spreadsheet dataset editor.
 Next, we will add legends to the plot.
@@ Line 318: / Line 317: @@
 || For assignment activity, please do the following.
 * Two assignment files are provided in the codefiles link as seen here.
- parabola1.txt	parabola2.txt
+parabola1.txt	parabola2.txt
 * Plot them in the same graph panel.
 * Perform Quadratic regression on the '''parabola1.txt''' file
 |-

@@ Line 326: / Line 326: @@
 || '''Slide Number 9'''
 '''Assignment'''
-|| * Load the fitted data in the graph.
+||
 * Add legend strings and reposition them inside the graph panel.
 * Format the appearance of the three datasets to distinguish them.