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--- seminar:plot_curvefit [2019/10/10 14:51] – [Curve Fit Inspector] kimi
+++ seminar:plot_curvefit [2022/08/23 13:34] (現在) – 外部編集 127.0.0.1
@@ 行 33: / 行 33: @@
 $$
-R.M.S.D. =\sqrt{\frac{1}{N}\sum_{i=1}^{N}\left\{y_i-f(x_i)\right\}}
+R.M.S.D. =\sqrt{\frac{1}{N}\sum_{i=1}^{N}\left\{y_i-f(x_i)\right\}^2}
 $$
 Chi²:
@@ 行 57: / 行 57: @@
 column in a previous row
 Examples: 284 1234~ 10.7~0.2 1-2.3 5*0.12
+Plot functions which allow mathematical expressions supports the following functions:
+|''+, -, *, /''|	arithmetic operations|
+%, mod	modulo
+( )	grouping
+^, **	power
+rad(x), deg(x)	conversion between radians and degrees
+sin(x),cos(x),tan(x)	trigonometric functions
+asin(x),acos(x),atan(x)	inverse trigonometric functions
+sinh(x),cosh(x),tanh(x)	hyperbolic functions
+rnd(h)	random number (h = height)
+ln(x),log(x)	natural and logarithm to base 10
+sqrt(x)	square root
+cbrt(x)	cubic root
+frac(x)	returns the fraction of x
+int(x)	returns the integer of x
+round(x;n)	round up and down to the nth place on the right of the decimal point
+gau(x;x0;a;w)	Gauss (x0 = position, a = amplitude, w = width)
+lor(x;x0;a;w)	Lorentz (x0 = position, a = amplitude, w = width)
+galo(x;x0;a;w;r)	Gauss-Lorentz (x0 = position, a = amplitude, w = width, r =Gauss-Lorentz ratio (1.0=pure Gauss,0.0 = pure Lorentz))
+tail(x;x0;a;w;r;t)	Gauss-Lorentz with exponential Tail (x0 = position, a = amplitude, w = width, r = Gauss-Lorentz ratio(1.0=pure Gauss,0.0 = pure Lorentz)), t = tail exponent factor
+j0(x), j1(x), jn(x;n)	bessel functions
+y0(x), y1(x), yn(x;n)	bessel functions
+pi	3.14159265359
+e	2.71828182846
+xval(b;i)	x value of point i in buffer b
+yval(b;i)	y value of point i in buffer b
+xerr(b;i)	x error value of point i in buffer b
+yerr(b;i)	y error value of point i in buffer b
+xnval(b;i)	normalized x value (0.0-1.0) of point i in buffer b
+ynval(b;i)	normalized y value (0.0-1.0) of point i in buffer b
+xnerr(b;i)	normalized x error value (0.0-1.0) of point i in buffer b
+ynerr(b;i)	normalized y error value (0.0-1.0) of point i in buffer b
+xvf(b)	x value of the first point in buffer b
+xvl(b)	x value of the last point in buffer b
+yvf(b)	y value of the first point in buffer b
+yvl(b)	y value of the last point in buffer b
+xmin(b)	minimum x value in buffer b
+xmax(b)	maximum x value in buffer b
+ymin(b)	minimum y value in buffer b
+ymax(b)	maximum y value in buffer b
+exmin(b)	minimum x error value in buffer b
+exmax(b)	maximum x error value in buffer b
+eymin(b)	minimum y error value in buffer b
+eymax(b)	maximum y error value in buffer b
+txmin	minimum x value over all buffers
+txmax	maximum x value over all buffers
+tymin	minimum y value over all buffers
+tymax	maximum y value over all buffers
+vxmin(b)	minimum x value over all visible buffer
+vxmax(b)	maximum x value over all visible buffer
+vymin(b)	minimum y value over all visible buffer
+vymax(b)	maximum y value over all visible buffer
+points(b)	number of points in buffer b
+xpoint(v;a)	x screen coordinate of v (a can be 1 for the first or 2 for the second axis).
+xvalue(v;a)	x value of the screen coordinate v (a can be 1 for the first or 2 for the second axis).
+ypoint(v;a)	y screen coordinate of v (a can be 1 for the first or 2 for the second axis).
+yvalue(v;a)	y value of the screen coordinate v (a can be 1 for the first or 2 for the second axis).
+findx(v;b)	x value which depends to y in buffer b. If there are more than one it returns the first it found.
+findy(v;b)	y value which depends to x in buffer b. If there are more than one it returns the first it found.
+fnx(v;b)	normalized x value (0.0-1.0) which depends to y in buffer b. If there are more than one it returns the first it found.
+fny(v;b)	normalized y value (0.0-1.0) which depends to x in buffer b. If there are more than one it returns the first it found.
 ===== Special Functions =====