I have a dataframe V as follows:
ECON1 ECON2 ECON3 FOOD1 FOOD2 FOOD3 ENV1 \
28 0.310071 0.096913 0.228500 0.234986 0.260894 0.267858 0.489309
28 0.353609 0.045075 0.222571 0.222803 0.248388 0.330560 0.060107
28 0.280600 0.170201 0.232027 0.226792 0.233379 0.316765 0.114550
28 0.299062 0.127866 0.198080 0.189948 0.222982 0.327082 0.052881
28 0.346291 0.645534 0.371397 0.389068 0.380557 0.386004 0.186583
ENV2 HEA1 HEA2 HEA3 PERS1 PERS2 PERS3 \
28 0.206320 0.252537 0.266968 0.248452 0.184450 0.093345 0.173952
28 -0.206570 0.263673 0.126182 0.265908 0.134481 0.191341 0.113324
28 0.237818 0.257337 0.102037 0.214423 0.159002 0.321451 0.165960
28 0.345857 0.272412 0.069192 0.251301 0.130606 0.132732 0.174925
28 0.372713 0.382155 0.373531 0.468293 0.364305 0.299510 0.350822
COM1 COM2 POL1 POL2
28 0.781430 0.487822 0.361886 0.233124
28 0.083918 0.005381 0.266604 0.237078
28 0.395897 0.257888 0.330607 0.229079
28 0.000000 0.000000 0.307907 0.238908
28 0.188402 0.101147 0.410619 0.385933
I am looking to do a bartlett_sphericity test to check whether or not the observed variables (dataframe V) intercorrelate at all using the observed correlation matrix against the identity matrix.
from factor_analyzer.factor_analyzer import calculate_bartlett_sphericity
chi_square_value, p_value=calculate_bartlett_sphericity(V)
print(chi_square_value, p_value)
The issue i find is that the output looks as follows:
nan nan
I am not sure what i am doing wrong. All values in V are numeric. Can someone comment on this please?