├── LICENSE ├── README.md └── doe.csv /LICENSE: -------------------------------------------------------------------------------- 1 | MIT License 2 | 3 | Copyright (c) 2024 Blaine Mooers and University of Oklahoma Board of Regents 4 | 5 | Permission is hereby granted, free of charge, to any person obtaining a copy 6 | of this software and associated documentation files (the "Software"), to deal 7 | in the Software without restriction, including without limitation the rights 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell 9 | copies of the Software, and to permit persons to whom the Software is 10 | furnished to do so, subject to the following conditions: 11 | 12 | The above copyright notice and this permission notice shall be included in all 13 | copies or substantial portions of the Software. 14 | 15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 21 | SOFTWARE. 22 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | ![Version](https://img.shields.io/static/v1?label=design-of-experiments-voice-in&message=0.2&color=brightcolor) 2 | [![License: MIT](https://img.shields.io/badge/License-MIT-blue.svg)](https://opensource.org/licenses/MIT) 3 | 4 | 5 | # Design of experiments related text replacements for the Voice-In speech-to-text software 6 | 7 | ## Installation 8 | 9 | - Download the `doe.csv` file. 10 | - Copy the contents and paste them into the bulk add window of your Voice In Plus account. 11 | - Click on the edit button at the bottom of the bulk ad window for the pasted text to be saved. Your existing commands will not be overwritten unless they have the same term in the left column. 12 | 13 | ## Usage 14 | 15 | Say the term in the left column to insert the text in the right column. 16 | The term in the left column can be thought of as a `voice trigger` and analogy to a `tab trigger` associated with snippet libraries in text editors. 17 | Sorry, I have not yet figured out how to use one's voice to advance to what would be `tab stop`s or `voice stops` where parameter values need to be changed. 18 | 19 | 20 | |Version | Changes | Date | 21 | |:-----------:|:------------------------------------------------------------------------------------------------------------------------------------------:|:--------------------:| 22 | | Version 0.2 | Added badges and update table | 2024 April 13 | 23 | 24 | 25 | ## Funding 26 | - NIH: R01 CA242845, R01 AI088011 27 | - NIH: P30 CA225520 (PI: R. Mannel); P20GM103640 and P30GM145423 (PI: A. West) 28 | -------------------------------------------------------------------------------- /doe.csv: -------------------------------------------------------------------------------- 1 | expand 2FI,two-factor interaction 2 | expand AAE,Average Absolute Error 3 | expand ACE,Approximate Coordinate Exchange 4 | expand ADEMP,"defining aims, data-generating mechanisms, estimands, methods, and performance methods" 5 | expand AES,adaptive exploratory sampling 6 | expand AHS,adaptive hybrid sampling 7 | expand AIC,Akaike Information Criterion 8 | expand AICc,Akaike Information Criterion corrected for small sample sizes 9 | expand AMPSO,adaptive memetic particle swarm optimization 10 | expand ANN,artificial neural networks 11 | expand ANOVA,Analysis of Variance 12 | expand ANCOVA,Analysis of Covariance 13 | expand ANSI,American National Standard Institute 14 | expand AOQ,Average Outgoing Quality 15 | expand AOQL,Average Outgoing Quality Limit 16 | expand AQL,Acceptable Quality Level 17 | expand ARL,Average Run Length 18 | expand ASA,American Statistical Association 19 | expand ASN,Average Sample Number 20 | expand ASQ,American Society for Quality 21 | expand ATI,Average Total Inspection 22 | expand BB,branch and bound 23 | expand BD,big data 24 | expand BECM,Bayes Estimation of the Current Mean 25 | expand BIBD,Balanced Incomplete Block Design 26 | expand BIBD,balanced incomplete block design 27 | expand BMM,Modified Box-Meyer Method 28 | expand BP,Bootstrap Population 29 | expand CAD,Computer Aided Design 30 | expand CADD,Computer Aided Drawing and Drafting 31 | expand CAM,Computer Aided Manufacturing 32 | expand CAMM,continuous and multi-modal 33 | expand CBD,Complete Block Design 34 | expand CRD,Completely Randomized Design 35 | expand CC,clustering constraint 36 | expand CCD,central composite design 37 | expand CCC,Central Composite Circumscribed 38 | expand CCI,Central Composite Inscribed 39 | expand CCF,Central Composite Face-Centered 40 | expand CDF,cumulative distribution function 41 | expand CDM,crowding distance metric 42 | expand CED,Conditional Expected Delay 43 | expand cGMP,current good manufacturing practices 44 | expand CIM,Computer Integrated Manufacturing 45 | expand CLT,Central Limit Theorem 46 | expand CNC,Computerized Numerically Controlled 47 | expand CP,columnwise–pairwise 48 | expand CPA,Circuit Pack Assemblies 49 | expand CQA,Critical Quality Attribute 50 | expand CUSUM,Cumulative Sum 51 | expand CV,cross validation 52 | expand CVE,cross validation error 53 | expand DASE,design and analysis of simulation experiments 54 | expand DDC,designed data collection 55 | expand DF,departure function 56 | expand DFIT,Fits distance 57 | expand DHASD,Delaunay hybrid adaptive sequential design 58 | expand DLM,Dynamic Linear Model 59 | expand DoE,design of experiments 60 | expand DT,Delaunay triangulation 61 | expand EBD,Empirical Bootstrap Distribution 62 | expand EDA,Exploratory Data Analysis 63 | expand EE,expected error 64 | expand ESE,enhanced stochastic evolutionary 65 | expand EWMA,Exponentially Weighted Moving Average 66 | expand FLOLA,fuzzy local linear approximation 67 | expand FPM,Failures Per Million 68 | expand FF,Fractional Factorial 69 | expand GEE,generalized estimating equations 70 | expand GLS,good lattice sampling 71 | expand GRR,Gage Repeatability and Reproducibility 72 | expand GSD,Generalized Subset Design 73 | expand HAL,Halton sampling 74 | expand HAM,Hammersley sampling 75 | expand HPD,Highest Posterior Density 76 | expand i.i.d.,independent and identically distributed 77 | expand ILS,iterative local search 78 | expand IMSE,integrated mean squared error 79 | expand InfoQ,Information Quality 80 | expand IQR,Inter Quartile Range 81 | expand JK,Jackknifing 82 | expand JMP,John's (Sall) MacIntosh Program 83 | expand JSL,JMP Scripting Language 84 | expand KL,Kullback–Leibler 85 | expand KS,Kolmogorov-Smirnov 86 | expand LCL,Lower Control Limit 87 | expand LHD,Latin hypercube designs 88 | expand LHS,Latin hypercube sampling 89 | expand LLN,Law of Large Numbers 90 | expand LOLA,local linear approximation 91 | expand LQL,Limiting Quality Level 92 | expand LSD,Least Significance Difference 93 | expand LSE,Least Squares Estimators 94 | expand LSL,Lower Specification Limit 95 | expand LTPD,Lot Tolerance Percent Defective 96 | expand LWL,Lower Warning Limit 97 | expand m.g.f.,moment generating function 98 | expand MCS,Monte Carlo sampling 99 | expand MD,Mahalanobis distance 100 | expand ME,maximum entropy 101 | expand MLE,Maximum Likelihood Estimator 102 | expand MLP,multi-layer perceptron 103 | expand Mm,maximin distance 104 | expand mM,minimax distance 105 | expand MMSE,maximum mean squared error 106 | expand MSD,maximin scaled distance 107 | expand MSD,Mean Squared Deviation 108 | expand MSE,maximum sampling error 109 | expand MSE,mean squared error 110 | expand MST,minimum spanning tree 111 | expand MTBF,Mean Time Between Failures 112 | expand MTTF,Mean Time To Failure 113 | expand MBMM,Modified Box-Meyer Method 114 | expand MOFAT,Modified One Factor At a Time 115 | expand MVT,multivariable testing 116 | expand NID,normally and independently distributed random variables with mean 0 and variance 1 117 | expand NIST,National Institue of Standards and Technology 118 | expand NLP,nonlinear programming 119 | expand NN,nearest neighbor 120 | expand NSTC,National Science and Technology Council 121 | expand OA,optimization algorithms 122 | expand OAS,orthogonal array sampling 123 | expand OC,Operating Characteristic 124 | expand OCC,operating characteristic curve 125 | expand OFAT,One Factor At a Time 126 | expand OVAT,One Variable At a Time 127 | expand PDF,probability density function 128 | expand PE,potential energy 129 | expand PerGA,permuted genetic algorithm 130 | expand PERT,Project Evaluation and Review Technique 131 | expand PFA,Probability of False Alarm 132 | expand PL,Product Limit Estimator 133 | expand PRESS,prediction error sum of squares 134 | expand PSE,Practical Statistical Efficiency 135 | expand PSO,particle swarm optimization 136 | expand QbD,Quality by Design 137 | expand QLHD,quasi-Latin hypercube Design 138 | expand QMCS,quasi-Monte carlo sampling 139 | expand QMP,Quality Measurement Plan 140 | expand QNS,quasi-Newton search 141 | expand QQ-Plot,Quantile vs. Quantile Plot 142 | expand QRLD,quasi-random low discrepancy 143 | expand RBF,radial basis functions 144 | expand RCBD,Randomized Complete Block Design 145 | expand RCE,row column exchange 146 | expand REML,residual maximum likelihood 147 | expand RIBD,randomized incomplete block design 148 | expand RMSE,Root Mean Squared Error 149 | expand RSD,relative standard deviation 150 | expand RSM,respone surface methodology 151 | expand RSWOR,Random Sample Without Replacement 152 | expand RSWR,Random Sample With Replacement 153 | expand SA,simulated annealing 154 | expand sdoe,sequental design of experiments 155 | expand SE,Standard Error 156 | expand SED,Statistical Engineering Division at NIST 157 | expand SOFAT,Standard One Factor At a Time 158 | expand SFC,space-filling criteria 159 | expand SL,Skip Lot 160 | expand SLS,Standard Least Squares 161 | expand SLOC,Source Lines of Code 162 | expand SLSP,Skip Lot Sampling Plans 163 | expand SMCS,stratified Monte Carlo sampling 164 | expand SN,Singal-to-Noise Ratio 165 | expand SOBSA,sequencing optimization based on simulated annealing 166 | expand SPC,Statistical Process Control 167 | expand SPRT,Sequential Probability Ratio Test 168 | expand SR,Shiryayev-Roberts 169 | expand SSE,Sum of Square Errors 170 | expand SSR,Sum of Squares Around the Regression Model 171 | expand SST,Total Sum of Squares 172 | expand STD,Standard Deviation 173 | expand SVM,support vector machines 174 | expand TA,threshold accepting based global search 175 | expand TP,translational propagation 176 | expand TSS,Total Sum of Squares 177 | expand TTC,Time Till Censoring 178 | expand TTF,Time Till Failure 179 | expand TTR,Time Till Repair 180 | expand TTT,Total Time on Test 181 | expand UCL,Upper Control Limit 182 | expand UD,uniform designs 183 | expand USL,Upper Specification Limit 184 | expand UWL,Upper Warning Limit 185 | expand VT,Voronoi tessellation 186 | --------------------------------------------------------------------------------