Presentation describing the script in R

Ashu Guru Author

03/13/2019 Added

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Presentation describing the script in R , by Ashu Guru, Univ of Nebraska Raikes School (18 mins)

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[00:00:00.800]We will now start working with the R script for calculating the coefficient of
[00:00:05.055]correlation for the data in the problem set.
[00:00:09.200]We are working with the water index for this problem.
[00:00:13.440]The water index refers to a ratio of the measures of wavelengths 900 and 970.
[00:00:20.840]Accordingly, I have defined 2 variables, wavelength numerator and wavelength
[00:00:27.205]denominator, which hold the values 900 and 970 so I
[00:00:31.504]can refer those in my program later.
[00:00:36.000]It is an easy way for me to refer to a variable rather than referring to numbers
[00:00:41.625]spread out across the script.
[00:00:43.640]So in case there's a change that I need to make,
[00:00:46.355]I can easily make it at one place.
[00:00:50.000]Here is my first instruction and the second instruction defining the two
[00:00:53.729]variables.
[00:00:55.800]In the next few instructions I will change the directory of R to the folder
[00:01:01.228]or the directory where I have kept the data file.
[00:01:04.800]So I have two data files, but the first one I will load is the data
[00:01:09.239]that is collected from the instrument.
[00:01:12.920]Here is a quick look at that and it has a total of 31 rows with row #1 being the
[00:01:19.130]description of the columns.
[00:01:23.040]So let's change the directory or set the working directory to the folder and I
[00:01:27.643]have highlighted the folder where I am working.
[00:01:30.760]You will have to modify this according to the folder structure or the directory
[00:01:34.893]structure that you have on your machine.
[00:01:37.520]For Windows users, Please remember to change the direction
[00:01:41.307]of the path delimiter.
[00:01:44.960]So I'm going to run this instruction now.
[00:01:47.240]So I have changed my working directory to the directory with the files.
[00:01:52.920]Now let's load the instrument data.
[00:01:55.200]I am using the read table instruction.
[00:01:58.800]So the variable TAB DATA instrument now has the values of the table read from
[00:02:08.018]this file.
[00:02:12.040]To get an indication that the file has been read correctly,
[00:02:16.638]I will print the number of rows that are in this variable.
[00:02:21.840]So I'm going to run this command now and it shows that I have 30 rows in this
[00:02:29.268]table.
[00:02:32.480]Next I will print the column names and the column names are Lambda R plot IDC X1,
[00:02:41.315]X22, X23, X44, X45, X66, X67 and if we notice that R did not
[00:02:47.887]change the first column name but it added an X in front of other column names.
[00:02:56.400]So the reason is that R defines the column names by default with the alpha
[00:03:01.376]character.
[00:03:04.560]Now I am going to print the Lambda R plot IDC column as a vector just to look at
[00:03:12.264]the values that we have and I see these are the numbers that are maintained in
[00:03:19.778]that column.
[00:03:22.160]Moving on, if we look at our computational.

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Presentation describing the script in R

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