The JSL code below uses the trapezoid rule. You must enter the range of integration ("xmin" and "xmax"). Enter the function you want to integrate into the variable called "pdf". The trapezoid rule divides the range of integration into sevaral intervals, and approximates the area under the curve for each interval by the area of a trapezoid. But how many intervals do you use? The code approximates the area using 1 interval, then 2 intervals, so on. It keeps increasing the number of intervals until the incremental difference is less than "stop". That way you don't have to specify the number of intervals, the code just keeps going until it converges.
The example in the code is the standard normal distribution between -10 and 10. The code outputs the results into the log window: the number of intervals it used, and the answer it converged to. In this example. it takes 26 intervals, and converges to 1.00000000000001. The total area under the normal curve is 1. Pretty close I would say.
Also of interest to you may be the midpoint rule and Simpsons rule. See Wikipedia for details. The code below can be easily altered to use those other rules.
You can also use a data table to do numerical integration. The more rows you use to span the range of integration, the better the approximation.
I'm a little confused as to what you want to do. You say you want the area under the curve, but you gave me data, not the equation of a curve. Do you want to fit a model for Y as a function of X, and then integrate the model? If not, I'm afraid I don't understand what you want to do.
from this data i want to plot a graph, then calculate the area under it. there is no equation just the data which i collected experimentally with a spectrophotometer. the data i gave you is the growth profile(Optical density, O.D.) of a bacteria, against an antibiotic at a specific concentration in ppm. Now after i calculate the area, under this, O.D. by time curve, at 10 different concentrations. then i will use that data to plot a graph, Area(y-axis) by Concentration(x-axis). then apply a modified Gompertz function to the data to analyse it. basically i dont know what a Gompertz function is, but i know the formula and in the research paper it says a non linear fitting procedure was used in JMP. But for all that, first i have to know how to calc. the area???
I love JMP and use it all the time. But- there are so many packages for area under a curve that are superior to JMP. Mathematica is in my opinion the very best. A good cheap contender is the free cousin of MatLab, called FreeMat http://freemat.sourceforge.net/ However, if all you want is to connect your data points with lines, then calculate the area underneath, and if your points are all 30 units apart from each other, then the answer is simple, because each area part is a trapezoid with a horizontal base, and all the bases are 30 wide. The area under each trapezoid is then the width (30) times the average height. For two points (x1,y1), (x2,y2) that average is (y1 + y2)/2 . Let y1 be your first point, yn your last point. The area under your plot is then [(y1+yn)/2 + (y2 + y3 + ... + yn-1) ]*30 The first and last points are included only once in the area calculations, thus they need to be halved. The others are in there twice, so you just sum them up.
Re Gompertz, any nonlinear fitting is dependent on starting values. JMP seems to do a great job with its default starting values, so give it a try. You might not get convergence according to the JMP stopping rule, so just choose to accept the current values if the parameters are stable (unchanging) enough. Or try resetting, and selecting the option of numeric derivatives. That sometimes will help. Good luck.
I am not able to recieve or send files. But, I will give instruction on using non-linear fitting in JMP, particularly the Gompertz model, then using the JSL code I provided to find the area under the fitted curve. I will use JMP 8 for the demo. You can download a free 30 day trial of JMP 8 from JMP's website.
Create a data table with the Time (x) and Optical Density (y) data. The table will have 5 rows and 2 columns. Select Analyze>Modeling>Nonlinear. Click the Model Library button. Scroll down till you find "Model H (Gompertz growth model, 3P)", and select it. Click the Make Formula button. Assign y to the Y role and x to the X role, then click OK. Move the theta1 slider to close to 0.3611. Click Make Formula. That created a new column in the table with the model and initial parameter estimates. Back on the Nonlinear window, assign Model H (Gompertz growth model, 3P) to the X, Predictor Formula role, and assign y to the Y, Response role. Click OK. Click Go a few times till the result pane give the message "Converged in Gradient". Click the Save Estimates button. If you want to save the predicted model to a column, select Save Formula>Save Prediction Formula. That is the basics of using the nonlinear platform.
Now we'll integrate that fitted model to get the area. Turn our attention to the JSL code I provided above. Copy and paste the code into an empty script window. I'm assuming you want to integrate between 0 and 120. Therefore, change the "xmin" variable to 0 and "xmax" to 120. Change the "stop" variable to 0.000000001. The line with the "pdf" variable should read:
Thanks a lot, for the Gompertz function thing! the script is running fine, (its a bit like a C++ program). this is about the area problem, what i wanted to ask was that " the interval is constant for every set of values ie. from 0 to 120, but the O.D. values(on y-axis) will change with every table, so how do i do that, so i get the area for every different set of values?" this area which i am getting would be for the values i gave you, right?