CORNELLSASLAB

SAS output to EXCEL converter for Cornell/MIT Language and acquisition lab

Instructions:

This python code can be used to convert SAS outputs from the lang and ac lab into data tables for regression and factorial summaries. SAS formst varies by run, therefore you may have to do a little editing before the code works.

For example, a working data chunk for this program would look something like this:

                  Differences of CHILDAGE*TASK*TR Least Squares Means

                                                     Standard
CHILDAGE  TASK  TR  _CHILDAGE  _TASK  _TR  Estimate     Error     DF  t Value  Pr > |t|

1         2     1   8          1      1     -0.4167    0.1251   1544    -3.33    0.0009
1         2     1   8          1      2     -0.2917    0.1251   1544    -2.33    0.0199
1         2     2   7          2      3     -0.4375    0.1363   1544    -3.21    0.0014
1         2     2   8          1      1     -0.4583    0.1251   1544    -3.66    0.0003

The SAS System 15:01 Sunday, August 4, 2019 139

                                 The GLIMMIX Procedure

                  Differences of CHILDAGE*TASK*TR Least Squares Means

                                                     Standard
CHILDAGE  TASK  TR  _CHILDAGE  _TASK  _TR  Estimate     Error     DF  t Value  Pr > |t|

1         2     2   8          1      2     -0.3333    0.1251   1544    -2.66    0.0078
1         2     2   8          1      3     -0.5625    0.1251   1544    -4.50    <.0001
1         2     2   8          2      1     -0.5833    0.1363   1544    -4.28    <.0001
1         2     3   7          2      3     -0.4167    0.1363   1544    -3.06    0.0023
1         2     3   8          1      1     -0.4375    0.1251   1544    -3.50    0.0005
1         2     3   8          1      2     -0.3125    0.1251   1544    -2.50    0.0126
1         2     3   8          1      3     -0.5417    0.1251   1544    -4.33    <.0001

The SAS System 15:01 Sunday, August 4, 2019 140

                                 The GLIMMIX Procedure

                  Differences of CHILDAGE*TASK*TR Least Squares Means

                                                     Standard
CHILDAGE  TASK  TR  _CHILDAGE  _TASK  _TR  Estimate     Error     DF  t Value  Pr > |t|

1         2     3   8          2      1     -0.5625    0.1363   1544    -4.13    <.0001
1         2     3   8          2      2     -0.5208    0.1363   1544    -3.82    0.0001
1         2     3   8          2      3     -0.4583    0.1363   1544    -3.36    0.0008
2         1     1   2          1      2    6.66E-16   0.07654   1544     0.00    1.0000
2         1     1   2          1      3    -0.08333   0.07654   1544    -1.09    0.2764
2         1     1   8          2      1     -0.4583    0.1251   1544    -3.66    0.0003
2         1     1   8          2      2     -0.4167    0.1251   1544    -3.33    0.0009
2         1     1   8          2      3     -0.3542    0.1251   1544    -2.83    0.0047

The SAS System 15:01 Sunday, August 4, 2019 141

As you can see, every chunk starts with the same title, and ends with a date and page number in the bottom right corner. All of the chunks have the same format and same number of columns. If the format of the pasted chunks is wrong, the code likely won't work.

NOTE: when pasting the file path to your excel document, make sure excel is not running on your computer, or else there will be an error.

SAS output to EXCEL converter for Cornell/MIT Language and acquisition lab

Related tags

Overview

CORNELLSASLAB

Owner

Code for the ACL2021 paper "Lexicon Enhanced Chinese Sequence Labelling Using BERT Adapter"

AAAI 2022 paper - Unifying Model Explainability and Robustness for Joint Text Classification and Rationale Extraction

PyTorch implementation of the REMIND method from our ECCV-2020 paper "REMIND Your Neural Network to Prevent Catastrophic Forgetting"

A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.

eXPeditious Data Transfer

Let Python optimize the best stop loss and take profits for your TradingView strategy.

A small demonstration of using WebDataset with ImageNet and PyTorch Lightning

Pytorch implementation of OCNet series and SegFix.

FaceOcc: A Diverse, High-quality Face Occlusion Dataset for Human Face Extraction

This repository holds code and data for our PETS'22 article 'From "Onion Not Found" to Guard Discovery'.

Unofficial implementation of Alias-Free Generative Adversarial Networks. (https://arxiv.org/abs/2106.12423) in PyTorch

This repository contains the source code and data for reproducing results of Deep Continuous Clustering paper

Active learning for Mask R-CNN in Detectron2

PyTorch implementation for the paper Pseudo Numerical Methods for Diffusion Models on Manifolds

The spiritual successor to knockknock for PyTorch Lightning, get notified when your training ends

Neighbor2Seq: Deep Learning on Massive Graphs by Transforming Neighbors to Sequences

PyTorch Implementations for DeeplabV3 and PSPNet

Repository for code and dataset for our EMNLP 2021 paper - “So You Think You’re Funny?”: Rating the Humour Quotient in Standup Comedy.

A rule-based log analyzer & filter

GULAG: GUessing LAnGuages with neural networks