check_curve | R Documentation |
Given a planar curve with discrete (xi,yi) points this function can find if it is convex, concave or for the sigmoid case if it is convex/concave or concave/convex.
check_curve(x, y)
x |
The numeric vector of x-abscissas |
y |
The numeric vector of y-abscissas |
It uses the function findipl
which provides us with a consistent estimator for the
surfaces left and right that are used here, see [1],[2] for more details.
A list with members:
ctype, the convexity type of the curve
index, the index that can be used from other functions to identify the inflection point
If we do not have a visual inspection of our data, then this function is useful because it can automate the usage of all other functions that compute the inflection point.
Demetris T. Christopoulos
[1]Demetris T. Christopoulos (2014). Developing methods for identifying the inflection point of a convex/concave curve. arXiv:1206.5478v2 [math.NA]. https://arxiv.org/pdf/1206.5478v2.pdf
[2]Demetris T. Christopoulos (2016). On the efficient identification of an inflection point.International Journal of Mathematics and Scientific Computing, (ISSN: 2231-5330), vol. 6(1). https://veltech.edu.in/wp-content/uploads/2016/04/Paper-04-2016.pdf
[3]Bardsley, W. G. & Childs, R. E. Sigmoid curves, non-linear double-reciprocal plots and allosterism Biochemical Journal, Portland Press Limited, 1975, 149, 313-328
findipl
, ese
, ede
, bese
, bede
.
## Lets create a really hard data set, an exxample of a "2:2 function" taken from [3] ## This function for x>0 has an inflectrion point at ## x = -1/8+(1/24)*sqrt(381) = 0.6883008876 ~0.69 ## We want to see ,if function 'check_curve()' will proper classify it, ## given that we used [0.2,4] as definition range. f=function(x){(1/8*x+1/2*x^2)/(1+1/8*x+1/2*x^2)} x=seq(0.2,4,0.05) y=f(x) plot(x,y,pch=19,cex=0.5) cc=check_curve(x,y) cc ## $ctype ## [1] "convex_concave" ## ## $index ## [1] 0 ## ## Yes it found it.
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