change significance level

Hi everyone, I am newbie in R, rigth now I am trying to use ks.test, ad.test and chisq.test from goftest, but i can not find the way to change the significance level of those tests. Actually I am using them with the rpy2 library, because I am currently working with python and calling R functions using that library, everything is just fine except, I can't find how to change the significance level. can anyone help me?

It is very difficult to help you with only that. I suggest make a simple reprex and we'll be able to help :slight_smile: (See here: FAQ: How to do a minimal reproducible example ( reprex ) for beginners)

Hi, sorry here is part of my code:

import rpy2.robjects as R
import rpy2.robjects.packages as R_packages

R_test, R_mass = R.packages.importr('goftest'), R.packages.importr('MASS')

R_ksr_test, R_ad_test, R_chisq_test = R.r['ks.test'], R.r['ad.test'], R.r['chisq.test']
distributions = [('norm', 'normal'), # mean, deviation
('pexp', 'exponential'), # rate
('pweibull', 'weibull') # shape, scale

def make_test(data, distribution, conf, test='ad'):
args = {}
dist, name = distribution
if name in mean_param: args['mean'] = conf['mean']
if name in sd_param: args['sd'] = conf['sd']
if name in shape_param: args['shape'] = conf['shape']
if name in scale_param: args['scale'] = conf['scale']
if name in rate_param: args['rate'] = conf['rate']

   if test == 'ks':
       return R_ksr_test(data, dist, **args)
   elif test == 'chi2':
       return R_chisq_test(data, dist, **args)
   return R_ad_test(data, dist, **args)

def get_fitdistr(items, distribution):
data = {}
response = R_mass.fitdistr(items, distribution)
if distribution == 'weibull':
data['shape'], data['scale'] = response[0]
elif distribution == 'exponential':
data['rate'] = response[0][0]
data['mean'], data['sd'] = response[0]
return data

vector = [9.2, 10.5, 10.8, 12.3, 14.8, 15.6, 16.1, 19.5, 22.4, 24.7, 25.3, 26.5, 29.9, 30.3, 30.7, 35.6, 46.5, 50.4, 68.2, 90.6]
vector = R.IntVector(vector)
data = u.get_fitdistr(vector, distributions[2][1])
stat, p_val, method, name = u.make_test(vector, distributions[2], data)

As you can see I am calling ad.test, ks.test and chisq.test without problems, but I need to offer the choice of change the significance level in each test.

This topic was automatically closed 21 days after the last reply. New replies are no longer allowed.

If you have a query related to it or one of the replies, start a new topic and refer back with a link.