Post by sid
I need to plot in log log scale and it is a scatter plot and I need to get the slope and intercept after fitting with linfit. This needs to be plotted in logarithmic space. And also the correlation coefficient needs to be calculated in log-log space.
I have 10 x values and 10 y values
is this correct plot, alog10(x), alog10(y)
or like this plot, x,y,/xlog,/ylog but I need the values in order to find the linfit.
how to do this
Here is a sample code that does what you need it to do:
;example data (5 points)
x = [1487,500,24,3455,2233]
y = [11,50,2400,32.3,111]
fit = linfit(alog(x),alog(y))
yfit = xfit*fit+fit
p = plot(alog(x),alog(y),layout=[2,1,1],symbol='o',linestyle=6,color='blue')
p2 = plot(xfit,yfit,/overplot)
NOTE: You can use either of your plot techniques. This will just change the actual labels on the axes. One will be just the log powers (it will show 3 for 1000), the other will be the data values in log form (it will show 10^3 for 1000)