How to display charts using curve fitting toolbox? Disappearing chart

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Aleksandra Pawlak
Aleksandra Pawlak 2020 年 12 月 4 日
コメント済み: Aleksandra Pawlak 2020 年 12 月 4 日
Hi!
I use curve fitting toolbox to make the chart. The problem is that it works only when I dipslay one chart, which is based on curve fitting. When I want to display more charts-the first one (curve fitting) always disappears - I get empty figure window. Where is the problem? (It's Linear Fitting in Curve Fitting Tool).
clc
clear all
close all
%% load
oTHDUmeanL1=[1.68 1.79 1.24 1.37 1.17 1.32 1.35 1.61 1.65 1.64 1.34 1.22 1.23 1.28 1.52 1.31 1.43 1.45 1.23 1.14 1.1 1.16 0.84 0.81 0.92 0.83 0.8 0.74 0.89 0.85 0.87 0.97 0.94 0.83 0.93 0.81 0.84 0.82 0.79 0.78 0.7 0.72 0.76 0.74 0.79 0.75 0.88 0.99 0.88 0.82 0.93 0.85 0.9 0.81 0.73 0.79 0.78 0.85 0.83 1.47 1.36 0.92 0.92 0.88 0.85 1.18 0.92 0.87 0.81 0.78 0.76 0.77 0.88 0.91 0.74 0.65 0.67 0.68 1.03 1.26 1.66 1.42 1.46 0.83 1.19 1.01 0.88 0.89 0.74 0.74 0.64 0.69 0.69 0.68 0.63 0.67 0.73 0.66 0.76 0.96 0.74 1 1.3 0.89 0.98 0.9 0.79 0.55 0.6 0.54 0.56 1 0.88 0.75 0.66 0.54 0.51 0.59 0.58 0.65 0.69 0.71 0.62 0.61 0.74 0.82 0.7 0.68 0.71 0.63 0.62 0.63 0.67 0.73 0.77 0.81 0.78 0.78 0.82 0.83 0.89 1.03 1 1.07 1.08 1.11 1.15 1.34 1.46 1.49 1.78 1.32 1.34 1.46 1.43 1.51 1.46 1.24 1.33 1.55 1.45 1.36 1.29 1.18 1.29 1.23 1.13 1.15 1.15 1.29 1.65 1.14 0.79 1.02 0.92 0.83 0.97 1.03 1 0.81 0.79 0.76 0.98 1 1.11 1.45 1.02 0.8 1.04 0.97 0.9 1.02 1.06 1.01 0.84 0.81 0.9 0.9 0.77 0.9 0.84 0.94 1.05 0.93 0.86 0.87 1.03 1.06 1.03 1.15 0.98 1.03 1.04 1.16 1.27 0.96 0.83 0.78 0.85 0.75 0.67 0.66 0.6 0.61 0.59 0.58 0.58 0.58 0.55 0.54 0.55 0.55 0.55 0.53 0.57 0.59 0.59 0.55 0.57 0.53 0.53 0.55 0.57 0.52 0.49 0.5 0.48 0.54 0.52 0.5 0.5 0.54 0.51 0.51 0.72 0.55 0.59 0.56 0.65 0.88 1.57 1.49 0.8 1.14 1.68 1.34 1.33 1.38 1.11 0.85 0.92 1.11 0.89 0.81 0.77 0.69 0.78 0.8 0.82 0.93 1.15 1.09 1.21 1.22 1.1 1.06 1.06 1.04 1.02 0.86 0.87 0.97 1.08 1.05 1.15 1.54 1.69 1.34 1.32 1.14 1.09 1.1 1.07 1.11 1.09 1.24 1.77 1.49 1.2 1.06 1.03 0.93 1.01 0.94 1.62 1.08 1.07 0.93 1.05 1.07 1.29 0.92 0.96 0.95 0.92 0.87 0.87 1 0.95 1.09 1.09 1.09 0.91 0.99 1.27 1.28 1.29 1.36 1.12 1.04 0.99 0.97 0.9 0.81 0.85 0.93 0.96 0.85 0.86 0.87 0.85 0.77 0.75 0.8 0.83 0.87 0.83 0.97 1.06 1.15 1.35 1.22 0.93 1 1.1 1.12 0.96 0.79 0.71 0.98 1.14 1.38 1.16 0.9 0.77 0.81 0.8 0.73 0.63 0.61 0.64 0.69 0.67 0.94 0.64 0.98 1.24 1.13 0.95 0.98 0.94 0.91 0.86 1.05 0.76 0.85 1.06 0.99 0.78 0.67 0.61 0.61 0.65 0.6 0.63 0.55 0.59 1.15 0.77 0.7 0.86 0.78 0.8 0.61 0.67 0.65 0.64 0.67 0.66 0.71 0.64 0.65 0.72 0.68 0.62 0.73 0.94 0.95 0.87 0.96 0.75 0.75 0.83 0.78 0.84 0.76 0.77 0.75 0.74 0.76 0.82 0.81 0.89 0.84 0.85 0.83 0.83 0.82 0.82 0.86 0.87 0.82 0.82 0.82 0.82 0.82 0.78 0.75 0.77 0.72 0.69 0.71 0.77 0.7 0.62 0.64 0.67 0.72 0.73 0.76 0.75 0.75 0.74 0.73 0.76 1.1 1.24 1.09 1.01 1.49 1.08 0.84 1.08 0.94 1 0.84 0.89 0.88 0.91 1.1 0.95 0.82 0.84 0.92 0.86 0.81 0.79 1.13 1.01 0.88 0.81 0.81 0.83 0.73 0.71 0.68 0.69 0.68 0.7 0.81 0.98 0.97 1.15 1.27 1.02 0.89 0.77 0.7 0.77 1.19 1.27 1 0.96 0.86 0.85 0.81 0.9 1.03 1.01 1.01 0.98 0.83 0.81 0.78 0.84 1.19 1.14 1.1 1.12 0.95 0.73 0.76 0.71 0.71 0.68 0.73 0.75 0.78 0.81 0.79 0.89 0.86 0.88 0.89 0.82 0.81 0.75 0.74 0.79 0.85 0.95 0.87 0.81 0.83 0.74 0.87 0.89 0.89 0.95 0.98 0.98 0.95 1.12 1.21 1.15 1.12 1.17 0.98 0.99 0.99 1.11 1.43 1.19 1.61 1.53 1.25 1.05 1.1 1.1 0.93 0.89 0.86 0.84 0.92 0.85 0.82 0.81 0.81 0.77 0.78 0.75 0.75 0.78 0.81 0.83 0.84 0.86 0.9 0.92 0.96 0.97 0.99 1.02 1.05 1.05 1.02 0.99 1 1.02 0.95 0.95 0.93 0.98 0.96 0.94 0.93 0.95 1.01 0.97 0.97 0.96 0.96 0.99 0.97 0.96 0.96 0.96 0.91 0.92 0.9 0.91 0.84 0.85 0.85 0.77 0.79 0.73 0.71 0.68 0.66 0.65 0.6 0.53 0.54 0.49 0.48 0.51 0.49 0.47 0.52 0.45 0.46 0.48 0.48 0.51 0.6 0.64 0.68 0.68 0.67 0.67 0.7 0.67 0.67 0.69 0.68 0.7 0.71 0.73 0.7 0.71 0.63 0.61 0.6 0.6 0.59 0.62 0.61 0.6 0.57 0.55 0.57 0.59 0.56 0.58 0.62 0.56 0.58 0.6 0.64 0.69 0.67 0.6 0.57 0.56 0.62 0.68 0.62 0.65 0.67 0.66 0.56 1.32 0.89 0.72 0.63 0.81 0.76 0.7 0.99 1.08 0.99 0.88 1.23 1.18 1.08 1.06 1.1 1.18 1.03 1.12 1.13 1.27 1.22 1.16 1.68 1.42 1.1 1.39 0.98 0.97 1.12 1.35 1.42 1 0.89 0.75 0.78 0.71 1.06 0.95 1.12 1.01 0.81 0.85 0.94 0.87 0.97 1.27 1.23 1.13 1.16 1.04 1.07 1.07 1.07 1.08 1.04 0.9 0.78 0.78 0.79 0.81 0.81 0.84 0.87 0.88 0.88 0.84 0.84 0.85 0.85 0.86 0.85 0.81 0.81 0.83 0.85 0.82 0.77 0.72 0.69 0.71 0.67 0.58 0.49 0.55 0.54 0.45 0.43 0.44 0.44 0.47 0.5 0.52 0.58 0.6 0.48 0.45 0.48 0.47 0.46 0.52 0.55 0.6 0.63 0.56 0.69 0.67 0.86 1.05 0.9 0.81 0.79 0.77 0.97 1.41 0.85 1 0.77 0.64 0.61 0.65 0.57 0.62 0.78 0.69 0.73 0.85 0.78 0.7 0.8 0.79 1 1.9 1.32 1.33 2.12 1.08 1.46 1.8 1.18 1.13 1.19 1.02 0.84 0.89 0.83 0.7 0.74 0.89 1.17 1.09 0.82 0.81 0.82 0.67 0.97 1.01 0.95 1.11 1.29 1.34 1.33 1.45 1.21 0.98 1.04 1.44 1.3 1.4 1.72 1.9 1.61 1.6 1.31 1.22 1.18 0.93 1.06 0.93 0.93 0.97 1.14 1.11 1.16 1.16 1.05 1.06 1.12 1 0.98 0.97 0.93 0.91 0.95 0.92 0.92 1.19 1.19 1.2 0.98 0.9 0.94 0.98 1.24 1.16 1.13 1.03 1.01 1.14 1.11 1.07 0.98 1.01 0.94 0.99 1.06 1.23 1.15 0.96 1.05 1.04 0.91 0.89 0.94 0.94 0.97 1.76 1.28 1.07 0.76 0.83 0.8 1.25 1.32 1.24 1.29 0.99 1.24 1.56 1.33 1.24 1.21 1.36 1.2 1.14 1.12 1.01 1.16 1.2 1.72 1.41 1.16 1.3 1.74 1.82 1.63 1.45 1.17 1.28 1.6 1.43 1.33 1.04 1.18 1.18 1.18 0.9 1.12 1.22 1.21 1.2 1.17 1.07 0.73 0.67 0.74 0.74 0.72 0.8 0.94 1.49 1.39 1.12 1.98 1.43 1.12 1.25 1.14 1.05 0.96 1.09 1.16 1.5 1.28 1.52 1.6];
oTHDUmeanL2=[1.68 1.8 1.23 1.36 1.17 1.32 1.35 1.62 1.64 1.62 1.28 1.15 1.14 1.23 1.48 1.28 1.38 1.4 1.21 1.1 1.07 1.12 0.83 0.8 0.88 0.8 0.78 0.7 0.86 0.8 0.82 0.94 0.9 0.77 0.86 0.73 0.73 0.7 0.68 0.73 0.63 0.66 0.7 0.67 0.71 0.67 0.82 0.94 0.82 0.76 0.88 0.8 0.83 0.75 0.66 0.71 0.72 0.8 0.76 1.45 1.39 0.87 0.87 0.83 0.77 1.14 0.83 0.78 0.72 0.7 0.65 0.72 0.82 0.83 0.63 0.51 0.54 0.53 0.95 1.19 1.59 1.36 1.39 0.71 1.12 0.92 0.77 0.76 0.61 0.61 0.5 0.57 0.56 0.54 0.51 0.56 0.64 0.56 0.65 0.86 0.6 0.89 1.18 0.78 0.91 0.82 0.7 0.45 0.5 0.43 0.45 0.94 0.8 0.65 0.54 0.41 0.37 0.48 0.49 0.59 0.66 0.67 0.59 0.58 0.71 0.79 0.66 0.65 0.69 0.63 0.63 0.61 0.66 0.71 0.72 0.77 0.73 0.73 0.75 0.76 0.82 0.99 0.97 1.04 1.1 1.12 1.15 1.34 1.44 1.47 1.75 1.3 1.31 1.43 1.37 1.42 1.37 1.17 1.29 1.52 1.44 1.34 1.29 1.2 1.31 1.24 1.14 1.16 1.15 1.27 1.63 1.1 0.76 0.99 0.88 0.78 0.92 0.99 0.95 0.73 0.72 0.67 0.92 0.94 1.09 1.43 0.97 0.73 0.99 0.91 0.83 0.96 1.02 0.96 0.78 0.74 0.84 0.84 0.7 0.84 0.77 0.88 1 0.88 0.79 0.78 0.96 0.99 0.97 1.09 0.89 0.94 0.94 1.07 1.21 0.9 0.71 0.64 0.73 0.6 0.53 0.51 0.43 0.45 0.42 0.43 0.42 0.4 0.38 0.41 0.38 0.4 0.43 0.41 0.47 0.48 0.48 0.48 0.5 0.44 0.52 0.54 0.54 0.5 0.43 0.47 0.46 0.5 0.5 0.48 0.45 0.5 0.48 0.52 0.7 0.57 0.57 0.51 0.61 0.85 1.5 1.42 0.79 1.09 1.62 1.3 1.3 1.36 1.09 0.82 0.9 1.09 0.86 0.78 0.72 0.66 0.76 0.77 0.77 0.84 1.11 1.1 1.21 1.22 1.11 1.09 1.1 1.06 1.02 0.89 0.9 0.99 1.07 1.04 1.14 1.51 1.69 1.29 1.23 1.09 1.07 1.07 1.04 1.09 1.07 1.24 1.77 1.49 1.11 0.98 0.97 0.87 1 0.94 1.62 1.07 1.07 0.93 1.07 1.08 1.28 0.9 0.93 0.92 0.85 0.79 0.78 0.94 0.88 1.04 1.03 1.04 0.83 0.93 1.23 1.24 1.26 1.33 1.08 0.99 0.92 0.9 0.82 0.73 0.76 0.87 0.91 0.8 0.8 0.8 0.79 0.71 0.67 0.74 0.76 0.78 0.75 0.91 1.01 1.18 1.39 1.24 0.9 0.96 1.07 1.11 0.92 0.74 0.62 0.94 1.12 1.36 1.12 0.84 0.71 0.72 0.7 0.65 0.54 0.48 0.52 0.59 0.58 0.89 0.57 0.96 1.22 1.12 0.91 0.95 0.92 0.88 0.82 1.01 0.72 0.82 1.04 0.96 0.73 0.63 0.56 0.55 0.62 0.55 0.62 0.5 0.57 1.15 0.78 0.71 0.87 0.8 0.82 0.62 0.71 0.69 0.67 0.7 0.7 0.77 0.7 0.71 0.77 0.73 0.65 0.76 0.96 0.98 0.9 0.98 0.8 0.78 0.87 0.84 0.88 0.82 0.81 0.8 0.73 0.72 0.78 0.74 0.81 0.76 0.74 0.73 0.7 0.71 0.72 0.79 0.79 0.75 0.79 0.75 0.76 0.78 0.74 0.73 0.75 0.71 0.71 0.72 0.78 0.71 0.6 0.64 0.67 0.71 0.7 0.73 0.69 0.73 0.71 0.69 0.73 1.08 1.21 1.06 0.98 1.5 1.06 0.78 1.03 0.86 0.92 0.75 0.78 0.78 0.83 1.03 0.87 0.74 0.76 0.85 0.8 0.72 0.72 1.07 0.94 0.79 0.73 0.74 0.78 0.67 0.63 0.61 0.6 0.57 0.62 0.74 0.95 0.93 1.11 1.24 0.98 0.83 0.68 0.6 0.69 1.15 1.24 0.94 0.9 0.77 0.72 0.67 0.8 0.95 0.91 0.93 0.91 0.72 0.7 0.66 0.74 1.12 1.08 1.03 1.07 0.86 0.57 0.62 0.56 0.55 0.55 0.59 0.62 0.66 0.71 0.67 0.77 0.76 0.78 0.78 0.7 0.71 0.65 0.65 0.68 0.75 0.87 0.78 0.74 0.79 0.69 0.98 0.99 0.97 1.06 1.05 1.06 1.04 1.23 1.32 1.28 1.23 1.3 1.11 1.12 1.13 1.24 1.55 1.33 1.74 1.65 1.4 1.16 1.16 1.16 1 0.96 0.95 0.93 1 0.9 0.87 0.9 0.88 0.84 0.85 0.8 0.8 0.83 0.85 0.87 0.87 0.9 0.9 0.93 0.94 0.95 0.95 0.98 1 1 0.99 0.96 0.96 0.98 0.92 0.93 0.9 0.94 0.92 0.92 0.89 0.92 0.97 0.93 0.94 0.93 0.91 0.95 0.93 0.92 0.93 0.94 0.87 0.88 0.88 0.89 0.81 0.81 0.8 0.7 0.75 0.7 0.69 0.64 0.63 0.64 0.6 0.5 0.52 0.41 0.42 0.46 0.44 0.38 0.5 0.41 0.41 0.46 0.49 0.54 0.61 0.66 0.7 0.7 0.71 0.72 0.76 0.74 0.74 0.76 0.75 0.75 0.77 0.78 0.72 0.74 0.65 0.64 0.6 0.6 0.6 0.65 0.64 0.61 0.57 0.57 0.58 0.6 0.59 0.59 0.63 0.59 0.62 0.64 0.69 0.75 0.72 0.67 0.62 0.6 0.67 0.7 0.66 0.71 0.71 0.72 0.62 1.35 0.95 0.78 0.7 0.86 0.83 0.75 1.03 1.16 1.06 0.93 1.28 1.21 1.09 1.08 1.1 1.17 1.04 1.12 1.09 1.22 1.19 1.13 1.66 1.39 1.07 1.36 0.95 0.96 1.1 1.32 1.4 1.02 0.9 0.77 0.78 0.71 1.03 0.94 1.12 1.02 0.84 0.87 0.93 0.86 0.94 1.25 1.23 1.15 1.16 1.05 1.09 1.08 1.07 1.08 1.02 0.88 0.76 0.76 0.79 0.81 0.81 0.84 0.89 0.9 0.88 0.85 0.86 0.86 0.83 0.84 0.83 0.79 0.79 0.81 0.81 0.77 0.75 0.72 0.69 0.7 0.66 0.55 0.46 0.52 0.5 0.38 0.34 0.35 0.36 0.44 0.5 0.53 0.58 0.6 0.46 0.41 0.45 0.48 0.48 0.53 0.56 0.6 0.62 0.58 0.72 0.69 0.85 1.03 0.89 0.82 0.8 0.77 0.95 1.36 0.85 0.99 0.77 0.64 0.63 0.65 0.55 0.62 0.77 0.7 0.72 0.82 0.77 0.72 0.8 0.78 1 1.85 1.3 1.33 2.04 1.09 1.45 1.79 1.21 1.14 1.19 1.03 0.87 0.9 0.83 0.73 0.76 0.92 1.16 1.1 0.85 0.87 0.85 0.73 1.04 1.04 1 1.16 1.33 1.35 1.34 1.43 1.16 0.95 1.01 1.44 1.29 1.39 1.73 1.89 1.59 1.6 1.29 1.2 1.16 0.91 1.05 0.94 0.92 0.95 1.12 1.1 1.15 1.15 1.05 1.05 1.11 0.99 0.97 0.97 0.93 0.91 0.96 0.93 0.93 1.2 1.2 1.22 0.99 0.91 0.97 0.99 1.25 1.18 1.15 1.03 1 1.12 1.11 1.08 0.99 0.99 0.95 0.99 1.08 1.23 1.14 0.93 1 0.98 0.88 0.9 0.98 0.95 0.97 1.75 1.26 1.04 0.72 0.78 0.76 1.19 1.26 1.19 1.23 0.95 1.21 1.51 1.3 1.2 1.17 1.32 1.17 1.1 1.07 0.96 1.12 1.19 1.67 1.4 1.13 1.27 1.67 1.73 1.56 1.41 1.15 1.26 1.56 1.4 1.32 1.02 1.15 1.16 1.16 0.93 1.13 1.21 1.19 1.2 1.22 1.11 0.71 0.64 0.72 0.71 0.67 0.79 0.91 1.46 1.36 1.1 1.92 1.38 1.11 1.22 1.1 1.02 0.9 1.01 1.09 1.46 1.23 1.5 1.58];
oTHDUmeanL3=[1.78 1.88 1.38 1.49 1.31 1.45 1.49 1.74 1.78 1.77 1.5 1.38 1.38 1.46 1.71 1.5 1.59 1.59 1.39 1.29 1.25 1.28 0.97 0.91 0.99 0.9 0.87 0.78 0.94 0.88 0.9 1 0.95 0.82 0.9 0.75 0.75 0.74 0.69 0.7 0.63 0.65 0.7 0.66 0.69 0.65 0.82 0.94 0.83 0.76 0.87 0.78 0.81 0.71 0.64 0.7 0.69 0.76 0.73 1.43 1.36 0.88 0.87 0.82 0.8 1.17 0.84 0.78 0.75 0.72 0.67 0.7 0.82 0.85 0.67 0.55 0.55 0.57 0.96 1.2 1.59 1.36 1.39 0.75 1.15 0.97 0.84 0.84 0.69 0.69 0.6 0.66 0.68 0.66 0.62 0.66 0.74 0.68 0.76 0.94 0.71 0.98 1.26 0.89 0.97 0.88 0.8 0.54 0.61 0.54 0.54 0.99 0.87 0.74 0.66 0.52 0.46 0.56 0.57 0.66 0.71 0.75 0.65 0.65 0.77 0.87 0.75 0.72 0.77 0.69 0.69 0.7 0.75 0.81 0.84 0.9 0.85 0.86 0.9 0.91 0.97 1.12 1.14 1.21 1.24 1.28 1.31 1.48 1.57 1.59 1.84 1.44 1.44 1.59 1.55 1.61 1.57 1.37 1.49 1.72 1.62 1.52 1.45 1.33 1.45 1.38 1.27 1.28 1.27 1.38 1.74 1.19 0.82 1.06 0.93 0.8 0.94 1.02 0.98 0.76 0.76 0.72 0.96 0.97 1.09 1.41 0.97 0.73 0.98 0.9 0.82 0.97 1.01 0.98 0.79 0.74 0.85 0.85 0.71 0.85 0.77 0.88 0.99 0.87 0.8 0.8 0.99 1.02 1 1.11 0.92 0.99 1 1.11 1.25 0.92 0.77 0.71 0.79 0.67 0.6 0.59 0.53 0.53 0.51 0.51 0.51 0.49 0.46 0.46 0.45 0.48 0.49 0.48 0.5 0.5 0.49 0.5 0.5 0.46 0.5 0.52 0.53 0.49 0.46 0.47 0.47 0.52 0.49 0.47 0.48 0.5 0.49 0.53 0.71 0.58 0.62 0.59 0.69 0.87 1.52 1.44 0.82 1.12 1.63 1.32 1.31 1.34 1.1 0.88 0.96 1.13 0.94 0.88 0.83 0.78 0.89 0.89 0.91 1.02 1.26 1.22 1.32 1.31 1.18 1.16 1.17 1.15 1.13 1.03 1.06 1.14 1.23 1.2 1.31 1.65 1.77 1.45 1.45 1.28 1.27 1.27 1.24 1.29 1.26 1.42 1.93 1.62 1.31 1.19 1.15 1.05 1.14 1.04 1.71 1.16 1.15 0.99 1.13 1.14 1.34 0.94 0.97 0.95 0.89 0.83 0.81 0.94 0.86 1.03 1.05 1.06 0.83 0.94 1.25 1.25 1.27 1.32 1.07 0.99 0.94 0.92 0.83 0.73 0.76 0.86 0.9 0.77 0.79 0.83 0.81 0.7 0.67 0.73 0.75 0.78 0.76 0.94 1.04 1.14 1.33 1.2 0.89 0.96 1.08 1.11 0.93 0.75 0.67 0.98 1.13 1.37 1.14 0.89 0.79 0.83 0.8 0.75 0.64 0.61 0.65 0.7 0.69 0.95 0.66 1 1.25 1.13 0.95 0.97 0.94 0.92 0.86 1.02 0.75 0.83 1.03 0.98 0.76 0.69 0.63 0.61 0.66 0.6 0.64 0.52 0.58 1.11 0.76 0.67 0.84 0.77 0.85 0.66 0.71 0.75 0.73 0.77 0.75 0.81 0.71 0.74 0.82 0.78 0.71 0.86 1.06 1.08 0.99 1.07 0.87 0.86 0.97 0.94 0.97 0.92 0.92 0.9 0.88 0.89 0.95 0.94 1.04 0.99 0.97 0.95 0.94 0.94 0.94 1.01 1.03 0.96 0.97 0.95 0.96 0.95 0.89 0.86 0.87 0.81 0.75 0.75 0.83 0.75 0.62 0.62 0.63 0.65 0.67 0.7 0.69 0.69 0.68 0.66 0.7 1.08 1.22 1.08 0.96 1.47 1.03 0.76 1.02 0.85 0.91 0.74 0.78 0.77 0.82 1.02 0.85 0.72 0.76 0.85 0.8 0.74 0.7 1.09 0.96 0.81 0.75 0.76 0.79 0.66 0.65 0.62 0.6 0.6 0.64 0.78 0.95 0.92 1.11 1.21 0.97 0.85 0.72 0.66 0.75 1.17 1.28 1 0.96 0.85 0.82 0.76 0.88 1.04 1 1.01 0.98 0.81 0.77 0.73 0.83 1.22 1.2 1.14 1.16 0.98 0.75 0.78 0.72 0.72 0.72 0.77 0.8 0.82 0.83 0.8 0.89 0.87 0.91 0.91 0.85 0.85 0.8 0.8 0.84 0.88 0.97 0.9 0.87 0.92 0.81 0.94 0.98 0.98 1.07 1.08 1.09 1.09 1.29 1.38 1.34 1.29 1.35 1.15 1.16 1.15 1.26 1.57 1.35 1.75 1.66 1.4 1.23 1.24 1.25 1.06 1.03 1.02 1 1.1 1 0.93 0.91 0.9 0.8 0.8 0.72 0.72 0.73 0.76 0.76 0.75 0.78 0.8 0.83 0.86 0.86 0.88 0.92 0.94 0.94 0.92 0.88 0.9 0.92 0.87 0.87 0.84 0.88 0.87 0.86 0.83 0.87 0.93 0.89 0.89 0.88 0.87 0.91 0.87 0.87 0.87 0.88 0.84 0.83 0.83 0.82 0.75 0.77 0.78 0.7 0.75 0.67 0.64 0.6 0.55 0.54 0.53 0.46 0.47 0.38 0.39 0.42 0.37 0.32 0.46 0.36 0.35 0.38 0.44 0.48 0.53 0.57 0.6 0.59 0.59 0.6 0.64 0.61 0.62 0.63 0.61 0.63 0.62 0.64 0.58 0.61 0.55 0.56 0.51 0.52 0.51 0.54 0.55 0.53 0.51 0.51 0.5 0.52 0.52 0.54 0.6 0.56 0.56 0.58 0.62 0.67 0.62 0.59 0.55 0.53 0.58 0.63 0.58 0.61 0.62 0.64 0.55 1.32 0.92 0.74 0.66 0.86 0.84 0.77 1.02 1.12 1.05 0.96 1.28 1.21 1.14 1.13 1.16 1.25 1.1 1.21 1.2 1.33 1.29 1.23 1.78 1.5 1.18 1.48 1.06 1.04 1.18 1.4 1.47 1.04 0.9 0.76 0.8 0.7 1.08 0.97 1.15 1.02 0.78 0.82 0.91 0.83 0.94 1.25 1.22 1.11 1.14 1.01 1.05 1.05 1.04 1.07 1 0.86 0.74 0.74 0.77 0.77 0.76 0.8 0.83 0.85 0.85 0.82 0.81 0.82 0.81 0.81 0.81 0.78 0.79 0.8 0.81 0.8 0.74 0.68 0.66 0.66 0.62 0.5 0.43 0.49 0.47 0.36 0.34 0.36 0.35 0.4 0.47 0.48 0.51 0.53 0.42 0.41 0.45 0.4 0.43 0.48 0.49 0.53 0.56 0.49 0.64 0.59 0.81 1 0.84 0.77 0.75 0.7 0.9 1.3 0.8 0.95 0.72 0.59 0.56 0.59 0.49 0.56 0.73 0.65 0.66 0.78 0.72 0.66 0.76 0.76 0.95 1.7 1.21 1.23 1.91 1 1.35 1.66 1.13 1.09 1.14 1 0.86 0.88 0.83 0.73 0.75 0.91 1.15 1.1 0.87 0.88 0.89 0.77 1.05 1.08 1 1.17 1.36 1.4 1.39 1.5 1.25 1.02 1.09 1.53 1.38 1.5 1.81 1.99 1.7 1.69 1.38 1.28 1.22 0.91 1.04 0.89 0.89 0.92 1.12 1.09 1.14 1.15 1.03 1.04 1.11 0.97 0.96 0.96 0.93 0.9 0.95 0.91 0.91 1.19 1.2 1.2 0.95 0.88 0.94 0.97 1.24 1.17 1.13 1.03 0.99 1.12 1.1 1.07 0.97 0.98 0.94 0.99 1.07 1.24 1.16 0.96 1.04 1.04 0.91 0.89 0.94 0.91 0.94 1.64 1.22 1.02 0.74 0.81 0.77 1.2 1.25 1.19 1.23 0.95 1.18 1.46 1.24 1.17 1.15 1.28 1.15 1.08 1.07 0.95 1.09 1.12 1.54 1.3 1.08 1.21 1.59 1.64 1.5 1.35 1.12 1.22 1.5 1.34 1.25 1 1.13 1.11 1.12 0.88 1.08 1.14 1.15 1.14 1.12 1.02 0.77 0.71 0.78 0.78 0.77 0.87 1 1.49 1.39 1.15 1.95 1.45 1.2 1.33 1.25 1.17 1.07 1.19 1.27 1.57 1.37 1.62 1.7];
oImeanL1=[44.557 54.83 27.659 33.46 23.909 25.585 25.756 39.21 44.733 47.29 28.619 20.097 19.33 19.42 33.301 23.886 36.915 41.602 28.557 21.216 19.261 24.386 9.034 9.744 18.483 12.568 10.892 7.489 18.58 17.148 19.307 25.983 26.381 18.449 22.648 15.966 17.199 14.437 11.574 11.33 8.148 9.784 11.085 10.256 14.722 12.273 21.659 26.08 20.114 17.557 24.818 19.267 18.057 13.108 9.091 10.29 8.523 14.79 15.062 58.705 58.068 23.313 24.097 19.528 19.159 40.869 23.313 20.852 18.909 16.665 14.415 17.188 21.585 22.568 16.636 11.381 10.966 11.097 24.591 39.813 60.602 49.324 53.097 21.085 35.693 26.67 20.568 20.358 14.04 13.994 10.528 12.784 13.17 13.688 13.511 14.648 14.437 11.693 15.659 22.403 14.756 23.614 33.659 20.506 25.313 24.977 19.813 9.284 10.028 7.42 9.108 29.142 23.017 16.506 12.568 8.739 6.563 11.472 11.301 13.812 13.403 14.313 10.92 10.216 15.625 18.455 15.023 12.659 12.881 9.443 6.648 7.074 9.159 10.142 11.347 7.687 6.284 6.602 5.358 8.25 11.881 13.369 11.875 12.813 11.597 11.216 12.011 23.761 32.398 31.409 52.71 29.972 26.591 29.688 27.222 29.812 26.778 19.165 25.097 37.307 33.04 29.653 27.568 25.313 31.148 30.153 26.08 27.034 26.347 35.903 59.17 34.852 16.818 30.653 22.716 18.858 26.534 29.199 28.915 18.602 17.989 16.227 26.932 29.131 37.955 62.193 35.409 17.67 35.068 32.102 26.148 30.614 36.301 31.545 18.239 16.472 22.415 22.943 12.818 21.966 19.29 25.409 31.687 27.744 20.403 20.949 29.227 31.528 32.381 40.352 30.199 30.466 31.29 36.653 41.801 27.847 19.682 17.472 19.068 14.398 11.352 9.983 5.455 3.392 5.051 5.852 5.341 6.017 5.114 5.938 4.426 4.443 4.341 4.585 1.96 1.625 1.631 1.636 1.625 1.886 1.79 1.676 1.665 4.915 4.443 5.83 4.239 1.841 2.102 3.591 3.96 6.597 6.335 5.42 15.261 7.659 8.114 5.125 12.091 21.835 57.21 52.761 20.795 32.79 56.75 43.04 48.068 46.438 32.574 21.176 23.574 33.869 22.96 18.761 15.949 12.125 14.284 16.125 16.733 17.295 24.449 24.574 31.131 35.085 33.511 27.71 26.244 24.5 21.727 11.642 11.847 16.898 21.403 20.313 27.562 43.324 53.199 27.943 25.949 19.278 15.5 14.881 14.926 17.04 17.807 27.739 58.665 45.847 24.21 14.653 15.631 11.483 12.915 9.545 56.955 28.926 26.08 17.716 24.75 30.506 48.29 24.568 24.148 22.25 19.097 18.301 14.949 22.699 19.744 26.597 29.841 31.699 19.511 25.352 43.057 46.409 47.023 48.756 37.801 31.489 29.08 25.415 19.199 12.864 15.926 23.591 23.801 15.409 17.125 18.517 17.693 15.722 15.284 17.682 18.597 18.267 18.057 24.239 26.835 34.392 44.108 38.841 25.483 29.557 32.278 32.182 24.733 17.977 15.051 24.466 36.341 45.79 41.506 23.801 17.438 16.17 14.778 13.341 8.619 8.835 10.619 13.403 13.324 22.273 10.403 22.813 35.807 32.551 26.926 27.534 24.665 23.023 21.807 32.449 21.483 26.188 34.278 27.108 18.063 13.545 8.682 7.881 11.443 11.386 13.494 8.398 12.83 35.307 17.244 14.722 21.915 17.023 17.841 7.813 10.489 10.852 8.051 10.841 11.199 14.057 10.847 11.301 14.392 10.648 6.273 11.142 18.96 19.966 17.648 21.966 14.341 12.744 15.307 11.494 14.21 10.864 10.551 9.261 6.597 4.011 5.091 5.858 9.335 7.301 5.972 4.46 3.813 3.693 4.051 5.205 4.96 4.739 5.534 5.381 6.392 6.71 6.244 9.051 12.761 11.585 10.938 10.307 13.915 10.847 5.659 6.205 6.42 5.557 7.023 8.438 8.063 6.972 6.449 6.369 7.801 31.636 40.011 30.898 32.795 65.108 38.006 12.148 29.205 18.267 22.54 11.898 15.801 13.597 16.46 27.472 19.006 11.591 16.653 20.778 18.25 14.108 10.375 32.841 25.176 17.773 15.165 15.494 17.205 12.051 8.233 6.216 8.034 7.136 6.193 13.676 22.892 23.71 30.665 35.972 23.778 17.67 12.608 7.051 10.972 33.489 33.517 20.585 19.398 13.551 9.182 5.239 11.023 17.33 16.932 19.295 21.722 14.773 10.159 8.301 13.597 24.574 23.5 23.307 26.528 20.58 7.182 11.335 8.739 6.778 5.773 4.761 4.21 3.864 3 2.938 1.659 1.926 1.619 1.75 2.807 2.955 5.392 5.682 5.33 4.176 2.977 3.818 5.54 11.898 8.324 9.017 9.705 6.92 6.068 5.165 4.557 5.875 15.148 21.301 17.148 16.17 20.233 13.642 11.744 12.188 17.926 31.403 21.023 44.403 44.682 35.227 21.011 23.119 22.449 14.54 11.722 8.761 5.778 12.267 8.903 5.722 4.892 5.545 4.301 4.665 3.261 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3.631 3.494 3.858 5.006 4.784 4.585 5.335 5.165 6.159 6.5 6.028 8.744 12.455 11.386 10.733 10.08 13.688 10.625 5.443 5.983 6.199 5.324 6.784 8.193 7.813 6.75 6.239 6.153 7.574 31.517 39.949 30.795 32.739 65.239 37.926 11.909 28.938 17.943 22.193 11.642 15.449 13.25 16.136 27.227 18.676 11.324 16.398 20.528 18.091 13.892 10.159 32.591 24.983 17.54 14.955 15.369 17.011 11.824 7.96 6.011 7.852 6.977 6.063 13.517 22.653 23.517 30.426 35.767 23.477 17.375 12.324 6.807 10.693 33.313 33.318 20.324 19.114 13.25 8.972 5.136 10.875 17.165 16.813 19.125 21.483 14.466 9.864 7.977 13.176 24.256 23.165 23.034 26.301 20.295 6.955 10.983 8.341 6.437 5.426 4.483 3.938 3.653 2.864 2.778 1.665 1.915 1.625 1.744 2.665 2.813 5.125 5.369 5.091 4.045 2.955 3.665 5.369 11.636 8.08 8.778 9.455 6.705 5.92 5.017 4.438 5.67 14.915 21.006 16.932 15.955 20.045 13.466 11.483 11.813 17.568 31.091 20.693 44.176 44.443 34.955 20.608 22.744 22.006 14.108 11.278 8.335 5.517 11.858 8.597 5.443 4.602 5.244 4.045 4.409 3.057 2.472 2.795 3.273 2.466 2.83 3.182 3.648 2.989 4.023 3.386 3.983 4.011 4.5 3.602 4.653 3.506 3.375 4.159 3.852 3.767 2.92 3.267 3.523 3.943 2.091 3.585 4.403 3.926 3.869 3.75 3.131 3.619 3.341 3.256 3.648 4.148 3.324 4.239 4.642 6.097 7.551 8.915 9.42 8.028 6.176 6.733 7.074 7.42 4.511 5.153 4.773 3.932 5.631 3.614 3.58 3.79 3.682 3.222 5.04 3.511 2.341 2.477 2.392 2.392 3.92 5.239 5.79 6.398 6.21 6.852 7.369 5.301 4.79 5.074 4.727 5.489 6.608 7.222 6.261 6.903 2.267 5.466 3.79 4.415 3.841 5.636 4.068 2.869 2.807 2.313 2.375 3.102 2.994 3.148 4.727 3.239 3.409 6.142 6.608 8.994 8.131 5.477 4.369 3.278 6.778 9.074 6.04 6.977 6.477 8.193 6.114 42.767 26.273 17.631 12.426 16.79 16.17 13.46 24.563 31.608 27.625 21.813 36.324 33.324 25.938 24.114 25.335 28.665 22.898 28.381 32.489 37.92 38.79 33.659 61.693 47.409 30.244 44.875 23.114 23.392 30.17 44.261 50.869 28.915 21.25 12.438 14.807 8.227 24.477 19.636 29.932 22.511 9.619 12.489 16.83 13.568 19.011 36.091 34.222 30.176 33.011 27.403 25.739 24.795 24.074 20.341 19.193 12.841 6.023 7.58 9.284 6.551 8.301 8.193 7.687 8.347 8.676 6.256 6.955 7.409 7.205 7.148 7.847 9.114 12.608 12.449 12.227 12.438 7.727 7.801 9.506 9.886 8.557 6.557 6.591 6.864 7.585 5.335 4.489 5.625 5.795 6.489 8.301 7.534 7.085 7.989 6.659 6.455 8.233 6.847 7.335 8.477 8.563 9.358 9.886 5.898 11.631 11.063 16.966 22.42 18.006 15.79 15.767 15.511 23.977 40.347 22.403 27.307 19.42 13.841 10.153 11.847 8.273 11.642 16.364 13.358 14.074 16.869 13.727 10.591 13.574 14.21 21.886 62.824 40.176 39.557 76.778 32.682 47.273 60.795 31.574 25.426 30.591 25.642 18.682 18.585 15.858 12.506 12.705 21.085 32.324 28.727 16.932 16.949 17.028 9.568 21.881 22.216 23.17 31.773 39.557 38.176 39.773 47.364 33.949 23.949 26.205 45.648 38.648 44.949 65.438 77.608 56.091 59.466 46.438 36.892 33.551 19.841 23.528 16.295 15.915 16.557 30.318 29.739 28.472 29.83 19.682 18.273 24.898 12.205 10.602 13.801 11.347 8.358 9.46 9.949 11.682 27.597 27.881 32.097 14.307 9.159 9.523 9.699 31.966 26.068 22.324 17.239 15.625 20.943 19.04 18.693 13.057 13.807 10.835 12.79 26.057 35.085 27.142 15.25 20.778 20.085 13.432 15.812 17.585 18.318 21.585 58.642 38.426 27.381 13.983 18.227 16.869 34.188 39.034 34.983 38.631 25.665 37.17 52.881 42.898 39.841 35.148 41.369 34.364 31.267 29.307 24.886 30.943 36.591 60.074 45.716 30.324 33.278 55.364 62.75 52.318 40.614 28.108 32.574 49.534 43.011 36.688 23.403 29.028 27.517 28.222 18.949 27.5 30.443 30.744 32.534 32.318 29.602 15.67 13.21 16.591 16.767 15.125 17.608 23.244 51.545 51.386 35.75 75.5 48.017 28.864 31.455 23.409 18.324 10.358 11.472 15.619 33.648 28.278 36.903 38.778];
%% THD=f(Isk) L1
[oImeanL1sorted,idx] = sort(oImeanL1,'ascend'); % sorted from min to max
oTHDUmeanL1sorted=oTHDUmeanL1(idx)
figure(1)
% f=plot(oImeanL1sorted,oTHDUmeanL1sorted)
% ylabel('THD_{Umean_{L1}}')
% xlabel('I_{mean_{L1}}')
%function [fitresult, gof] = createFit(oImeanL1sorted, oTHDUmeanL1sorted)
%CREATEFIT(OIMEANL1SORTED,OTHDUMEANL1SORTED)
% Create a fit.
%
% Data for 'untitled fit 1' fit:
% X Input : oImeanL1sorted
% Y Output: oTHDUmeanL1sorted
% Output:
% fitresult : a fit object representing the fit.
% gof : structure with goodness-of fit info.
%
% See also FIT, CFIT, SFIT.
% Auto-generated by MATLAB on 30-Nov-2020 23:45:06
%% Fit: 'inter'.
[xData, yData] = prepareCurveData( oImeanL1sorted, oTHDUmeanL1sorted );
% Set up fittype and options.
ft = fittype( {'(sin(x-pi))', '((x-10)^2)', '1'}, 'independent', 'x', 'dependent', 'y', 'coefficients', {'a', 'b', 'c'} );
% Fit model to data.
[fitresult, gof] = fit( xData, yData, ft );
% Plot fit with data.
figure( 'Name', 'inter' );
h = plot( fitresult, xData, yData );
legend( h, 'oTHDUmeanL1sorted vs. oImeanL1sorted', 'inter', 'Location', 'NorthEast', 'Interpreter', 'none' );
% Label axes
xlabel( 'oImeanL1sorted', 'Interpreter', 'none' );
ylabel( 'oTHDUmeanL1sorted', 'Interpreter', 'none' );
grid on
% THD=f(Isk) L2
[oImeanL2sorted,idx] = sort(oImeanL2,'ascend'); % sorted from min to max
oTHDUmeanL2sorted=oTHDUmeanL2(idx)
figure(2)
f=plot(oImeanL2sorted,oTHDUmeanL2sorted)
ylabel('THD_{Umean_{L2}}')
xlabel('I_{mean_{L2}}')

採用された回答

Cris LaPierre
Cris LaPierre 2020 年 12 月 4 日
編集済み: Cris LaPierre 2020 年 12 月 4 日
Remove or comment out the following line of code from your script
figure(1)
Every time you call the figure command, it creates a new figure.
figure(1) creates Figure 1. Nothing is plotted on this figure, so it is blank.
figure('Name','inter') created Figure 2: iter. The fitresult is plotted in this figure.
figure(2) makes Figure 2 the active figure. The next plot command replaces the existing plot on that figure (unless hold is on). The sorted data is plotted here.
The final result is 2 figures, not 3. The first and the third. Naming a figure does not get around the automatic numbering of figure windows. The figure(n) syntax first looks for an existing figure with that number. Read more here.

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