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local extrema pgfplots - smooth

How can I automatically mark local extrema with pgfplots and scatter?plotting two time series with boundsGrouped bar chartSmooth pgfplotssmooth pgfplots curveHow do i get the x axis on top but keep a line on the bottomHow to prevent rounded and duplicated tick labels in pgfplots with fixed precision?How to hide empty (value 0) ybars with pgfplots?Show mark labels near marks and not centered in ybar interaval graphpgfplots: percentage in matrix plotSmooth plotting in pgfplots

6

2

Is it possible to change this code for a "smooth" plot?

How can I automatically mark local extrema with pgfplots and scatter?

MWE

documentclass{scrartcl}

usepackage[utf8]{inputenc}

usepackage[ngerman]{babel}

usepackage{pgfplots}





%-min/max-code https://tex.stackexchange.com/questions/55349/how-can-i-automatically-mark-local-extrema-with-pgfplots-and-scatter



begin{document}



begin{tikzpicture}

 begin{axis}[axis lines*=middle,after end axis/.code={draw [thick, dashed, gray] (maximum) --({axis cs:0,0}-|maximum);}]

addplot +[mark max,smooth,no markers] file {titra.dat};

 end{axis}

end{tikzpicture}





end{document}

titra.dat

0 5

2 5.5

4 5

4.2 5

4.4 10

4.6 15

4.8 25

5 60

5.2 100

5.4 225

5.6 315

5.8 300

6 100

6.2 35

6.4 8.33

pgfplots

share|improve this question

edited 8 hours ago

Glorfindel

269139

asked May 6 '13 at 10:40

user29463

• 
  
  
  

  
  5
  

  
  
  
  
  
  

  
  
  No, you can't adapt that solution to work with curves produced using the smooth option. I wouldn't recommend using smooth when you're using measured data, especially not if the data changes as sharply as yours. You don't know what algorithm is being used for the smoothing, so you shouldn't let it influence your analysis. If you want to find the most likely maximum, you should either use a defensible mathematical model of your process and fit that to your data points, or just use the data point with the largest value.
  
  – Jake
  May 6 '13 at 11:05
  
  
  

  
  
  
  

add a comment | 

6

2

Is it possible to change this code for a "smooth" plot?

How can I automatically mark local extrema with pgfplots and scatter?

MWE

documentclass{scrartcl}

usepackage[utf8]{inputenc}

usepackage[ngerman]{babel}

usepackage{pgfplots}





%-min/max-code https://tex.stackexchange.com/questions/55349/how-can-i-automatically-mark-local-extrema-with-pgfplots-and-scatter



begin{document}



begin{tikzpicture}

 begin{axis}[axis lines*=middle,after end axis/.code={draw [thick, dashed, gray] (maximum) --({axis cs:0,0}-|maximum);}]

addplot +[mark max,smooth,no markers] file {titra.dat};

 end{axis}

end{tikzpicture}





end{document}

titra.dat

0 5

2 5.5

4 5

4.2 5

4.4 10

4.6 15

4.8 25

5 60

5.2 100

5.4 225

5.6 315

5.8 300

6 100

6.2 35

6.4 8.33

pgfplots

share|improve this question

edited 8 hours ago

Glorfindel

269139

asked May 6 '13 at 10:40

user29463

• 
  
  
  

  
  5
  

  
  
  
  
  
  

  
  
  No, you can't adapt that solution to work with curves produced using the smooth option. I wouldn't recommend using smooth when you're using measured data, especially not if the data changes as sharply as yours. You don't know what algorithm is being used for the smoothing, so you shouldn't let it influence your analysis. If you want to find the most likely maximum, you should either use a defensible mathematical model of your process and fit that to your data points, or just use the data point with the largest value.
  
  – Jake
  May 6 '13 at 11:05
  
  
  

  
  
  
  

add a comment | 

Is it possible to change this code for a "smooth" plot?

How can I automatically mark local extrema with pgfplots and scatter?

MWE

documentclass{scrartcl}

usepackage[utf8]{inputenc}

usepackage[ngerman]{babel}

usepackage{pgfplots}





%-min/max-code https://tex.stackexchange.com/questions/55349/how-can-i-automatically-mark-local-extrema-with-pgfplots-and-scatter



begin{document}



begin{tikzpicture}

 begin{axis}[axis lines*=middle,after end axis/.code={draw [thick, dashed, gray] (maximum) --({axis cs:0,0}-|maximum);}]

addplot +[mark max,smooth,no markers] file {titra.dat};

 end{axis}

end{tikzpicture}





end{document}

titra.dat

0 5

2 5.5

4 5

4.2 5

4.4 10

4.6 15

4.8 25

5 60

5.2 100

5.4 225

5.6 315

5.8 300

6 100

6.2 35

6.4 8.33

pgfplots

share|improve this question

edited 8 hours ago

Glorfindel

269139

asked May 6 '13 at 10:40

user29463

documentclass{scrartcl}

usepackage[utf8]{inputenc}

usepackage[ngerman]{babel}

usepackage{pgfplots}





%-min/max-code https://tex.stackexchange.com/questions/55349/how-can-i-automatically-mark-local-extrema-with-pgfplots-and-scatter



begin{document}



begin{tikzpicture}

 begin{axis}[axis lines*=middle,after end axis/.code={draw [thick, dashed, gray] (maximum) --({axis cs:0,0}-|maximum);}]

addplot +[mark max,smooth,no markers] file {titra.dat};

 end{axis}

end{tikzpicture}





end{document}

0 5

2 5.5

4 5

4.2 5

4.4 10

4.6 15

4.8 25

5 60

5.2 100

5.4 225

5.6 315

5.8 300

6 100

6.2 35

6.4 8.33

share|improve this question

edited 8 hours ago

Glorfindel

269139

asked May 6 '13 at 10:40

user29463

share|improve this question

edited 8 hours ago

Glorfindel

269139

asked May 6 '13 at 10:40

user29463

edited 8 hours ago

Glorfindel

269139

edited 8 hours ago

Glorfindel

269139

1 Answer
1

active

oldest

votes

6

No, you can't adapt that solution to work with curves produced using the smooth option. I wouldn't recommend using smooth when you're using measured data, especially not if the data changes as sharply as yours. You don't know what algorithm is being used for the smoothing, so you shouldn't let it influence your analysis. If you want to find the most likely maximum, you should either use a defensible mathematical model of your process and fit that to your data points, or just use the data point with the largest value

share|improve this answer

answered Aug 15 '13 at 21:30

JakeJake

196k24660765

add a comment | 

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6

No, you can't adapt that solution to work with curves produced using the smooth option. I wouldn't recommend using smooth when you're using measured data, especially not if the data changes as sharply as yours. You don't know what algorithm is being used for the smoothing, so you shouldn't let it influence your analysis. If you want to find the most likely maximum, you should either use a defensible mathematical model of your process and fit that to your data points, or just use the data point with the largest value

share|improve this answer

answered Aug 15 '13 at 21:30

JakeJake

196k24660765

add a comment | 

6

No, you can't adapt that solution to work with curves produced using the smooth option. I wouldn't recommend using smooth when you're using measured data, especially not if the data changes as sharply as yours. You don't know what algorithm is being used for the smoothing, so you shouldn't let it influence your analysis. If you want to find the most likely maximum, you should either use a defensible mathematical model of your process and fit that to your data points, or just use the data point with the largest value

share|improve this answer

answered Aug 15 '13 at 21:30

JakeJake

196k24660765

add a comment | 

No, you can't adapt that solution to work with curves produced using the smooth option. I wouldn't recommend using smooth when you're using measured data, especially not if the data changes as sharply as yours. You don't know what algorithm is being used for the smoothing, so you shouldn't let it influence your analysis. If you want to find the most likely maximum, you should either use a defensible mathematical model of your process and fit that to your data points, or just use the data point with the largest value

share|improve this answer

answered Aug 15 '13 at 21:30

JakeJake

196k24660765

share|improve this answer

answered Aug 15 '13 at 21:30

JakeJake

196k24660765

answered Aug 15 '13 at 21:30

JakeJake

196k24660765

answered Aug 15 '13 at 21:30

JakeJake

196k24660765