# Nonlinear model fit output [closed]

I'm trying to fit my data to function A.

z = 50;
s[x_] == (((q^2 (x/wr - wr/x)^2 + (z/(2 r) + 1))/(q^2 (x/wr - wr/x)^2 + (z/(2 r) + 1)^2))^2 + ((
q (x/wr - wr/x) (z/(2 r)))/(
q^2 (x/wr - wr/x)^2 + (z/(2 r) + 1)^2))^2)^(1/2);
A[x_] == 20*Log10[s[x]];

data = Import["C:\\Users\\Farzad\\Desktop\\ESR1.csv"];

nlm = NonlinearModelFit[
data, {A[x], q > 0, wr > 0,
r > 0}, {{q, 9000}, {wr, 42000000}, {r, 0.1}}, x][
"BestFitParameters"]
Show[Plot[nlm, {x, 41000000, 43000000}, AspectRatio -> Full,
PlotRange -> {{4.19*10^7, 4.25*10^7}, {0, -55}}],
ListPlot[data[[All, {1, 2}]], PlotRange -> All, PlotStyle -> Red]]


but for my output I get the following:

I'm not sure what the problem is and why I don't get any values for my fit parameters.

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• You should replace the == in A[x_] == 20*Log10[s[x]]; with a single = (and follow @BobHanlon 's advice below. – JimB May 16 '18 at 2:26

## 1 Answer

You have defined nlm as rules for the parameters rather than the model

data = {{0, 1}, {1, 0}, {3, 2}, {5, 4}, {6, 4}, {7, 5}};

nlm = NonlinearModelFit[data, Log[a + b x^2], {a, b}, x]["BestFitParameters"]

(* {a -> 1.50632, b -> 1.42633} *)


Whereas, if you use parentheses to isolate the definition of the model

(nlm = NonlinearModelFit[data, Log[a + b x^2], {a, b},
x])["BestFitParameters"]

(* {a -> 1.50632, b -> 1.42633} *)

Plot[nlm[x], {x, Min[data[[All, 1]]], Max[data[[All, 1]]]},
Epilog -> {Red, AbsolutePointSize[4], Point[data]}]


• Hey Bob, even when I make that change I get the same output! – user171881 May 16 '18 at 2:01
• Did you change the argument to Plot to nlm[x] as shown? – Bob Hanlon May 16 '18 at 2:12
• @BobHanlon I think the error occurs because of the use of == in A[x_] == 20*Log10[s[x]];. But I agree about the issue you found with the assignment of nlm. – JimB May 16 '18 at 2:21
• @JimB - since the OP did not provide data, I was not able to run the code and did not notice the improper definitions of both A and s. – Bob Hanlon May 16 '18 at 2:28