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

Reproduce results and replicate training fo T0 (Multitask Prompted Training Enables Zero-Shot Task Generalization)

SAT: 2D Semantics Assisted Training for 3D Visual Grounding, ICCV 2021 (Oral)

Pytorch Implementation of Spiking Neural Networks Calibration, ICML 2021

A python3 tool to take a 360 degree survey of the RF spectrum (hamlib + rotctld + RTL-SDR/HackRF)

Pytorch code for our paper "Feedback Network for Image Super-Resolution" (CVPR2019)

These are the materials for the paper "Few-Shot Out-of-Domain Transfer Learning of Natural Language Explanations"

The code of Zero-shot learning for low-light image enhancement based on dual iteration

Addition of pseudotorsion caclulation eta, theta, eta', and theta' to barnaba package

Camera-caps - Examine the camera capabilities for V4l2 cameras

TensorFlow implementation of Adaptive Information Transfer Multi-task (AITM) framework. Code for the paper submitted to KDD21: Modeling the Sequential Dependence among Audience Multi-step Conversions with Multi-task Learning for Customer Acquisition.

Leaderboard, taxonomy, and curated list of few-shot object detection papers.

App for identification of various objects. Based on YOLO v4 tiny architecture

A minimal solution to hand motion capture from a single color camera at over 100fps. Easy to use, plug to run.

MaRS - a recursive filtering framework that allows for truly modular multi-sensor integration

Probabilistic Tracklet Scoring and Inpainting for Multiple Object Tracking

Simple Pose: Rethinking and Improving a Bottom-up Approach for Multi-Person Pose Estimation

[WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"

Robust and Accurate Object Detection via Self-Knowledge Distillation

OMAMO: orthology-based model organism selection

A deep learning network built with TensorFlow and Keras to classify gender and estimate age.