Comments (4)
I will get to it by the end of the day. Can you provide what exactly it is you'd like to see? Do you want reading from a .csv file, using pandas?
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@eribean thanks for your reply. I want to know where and how to start. For example, if I want to process these data that comes from R language. Where should I start with girth? Just like these two data formats?
Thanks again!
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@shiG3L, Here is an example using a trimmed dataset as an excel file. Does this help?
import pandas as pd
from girth import grm_mml
# Read data into pandas dataframe
url = 'https://girth-examples.s3.us-south.cloud-object-storage.appdomain.cloud/subset_trim_example.xlsx'
dataset = pd.read_excel(url)
# Girth expects numpy arrays, convert and transpose
np_dataset = dataset.to_numpy().T
# Exclude the case number
np_final = np_dataset[1:, :]
# Run the irt
results = grm_mml(np_final.astype('int'))
print(results['Discrimination'])
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I really appreciate it. @eribean
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Related Issues (20)
- Add initial guess method for multidimensional models HOT 1
- Investigate removing numba support HOT 1
- Add citation fille HOT 1
- Girth Rebrand HOT 6
- Add disclaimer about Rasch Models
- what is proper choice for sparse response HOT 2
- IRT at Scale
- November Code Refactor HOT 1
- Remove Correlated Abilities
- Unify dichotomous synthetic data creation. HOT 1
- Clean up Read-me File
- Remove irt function
- Directory Structure Refactor HOT 1
- Multi-dimensional Initial Guess Not Semi-Positive Definite
- NaN encountered warning with `grm_mml`
- "float128" data type is not understood (grm_mml_eap)
- Installation does not seem to work HOT 1
- twopl_mml , threepl_mml model are taking too much time
- RuntimeError: An attempt has been made to start a new process before the current process has finished its bootstrapping phase. HOT 1
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