Closed st472 closed 5 years ago
Hello,
You should be able to do this by defining the figure number first plt.figure(i)
. The example below is taken from the ex_anova1rm.py script so the analysis will produce the same result in each figure.
Regards
Mark
import numpy as np
from matplotlib import pyplot as plt
import spm1d
#(0) Load dataset:
dataset = spm1d.data.uv1d.anova1rm.SpeedGRFcategoricalRM()
Y,A,SUBJ = dataset.get_data()
#(1) Run ANOVA
alpha = 0.05
equal_var = True
i = 1
while i < 5:
Frm = spm1d.stats.anova1rm(Y, A, SUBJ, equal_var)
Firm = Frm.inference(alpha)
plt.figure(i)
Firm.plot()
i += 1
Thanks, Mark, This works perfectly. Regards Sam
Hi,
I am running multiple repeated measures anovas as i have a number of different muscles that I have to analyse. I have created a while loop (code below) that will compute the spm and spm inference data for each muscle plus generate a inference plot. However, instead of separate plots i getting one plot with all of the inference lines plotted.
Is there away to get spm1d to plot a new graph each time?
Regards Sam
i = 1
while i < 21: F = spm1d.stats.anova1rm(Y[M==i], C[M==i], P[M==i]) FIn = F.inference(alpha=0.05) FIn.plot() print(F) print(FIn.clusters) i += 1