| Preface |
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xi | |
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Part 1 Experiments, Models, Simulations |
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1 | (96) |
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Chapter 1 Principles of Modeling |
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3 | (20) |
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1.1 Experiments, models and simulations |
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3 | (9) |
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1.2 Principles of modeling |
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12 | (5) |
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1.3 Modeling vs. conceptualization |
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17 | (6) |
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Chapter 2 Modeling and Simulation |
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23 | (18) |
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2.1 Classical prediction of the serial position curve |
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23 | (1) |
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2.2 Alternative explanation based on the interference phenomenon |
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24 | (16) |
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40 | (1) |
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Chapter 3 Adjustment of the Model to the Data |
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41 | (24) |
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3.1 Categorization by exemplars |
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41 | (5) |
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3.2 Categorization by exemplar, with MATLAB® calculations |
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46 | (6) |
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3.3 Adjustment functions (RMSE and likelihood) |
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52 | (10) |
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3.4 From adjustment to model selection |
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62 | (3) |
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Chapter 4 Introduction to Programming in MATLAB® |
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65 | (32) |
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4.1 Programming basics: getting started |
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65 | (4) |
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65 | (1) |
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65 | (1) |
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4.1.3 Emergency stop, stop a program from running |
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66 | (1) |
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66 | (1) |
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67 | (1) |
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4.1.6 Variable reset and screen reset |
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67 | (1) |
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68 | (1) |
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68 | (1) |
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69 | (7) |
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4.2.1 Sum and randn commands |
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71 | (1) |
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4.2.2 Manipulating matrices |
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72 | (4) |
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76 | (4) |
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76 | (1) |
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4.3.2 Size and length functions |
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77 | (1) |
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4.3.3 Random numbers distributed randomly: rand function |
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78 | (1) |
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4.3.4 Normally distributed random numbers: randn function |
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79 | (1) |
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80 | (1) |
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81 | (1) |
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4.6 Text or character strings |
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81 | (3) |
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4.6.1 Character strings OR character matrices |
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82 | (2) |
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84 | (1) |
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85 | (1) |
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85 | (4) |
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89 | (3) |
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92 | (1) |
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4.12 Programming tips in MATLAB® |
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93 | (4) |
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97 | (100) |
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Chapter 5 Principles of Experimentation Organization and Experimental Reasoning |
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99 | (14) |
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99 | (1) |
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100 | (2) |
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102 | (2) |
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5.4 Location and conditions |
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104 | (1) |
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104 | (1) |
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5.6 Introductory reminder regarding the terminology of experimental design |
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105 | (4) |
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109 | (1) |
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5.8 Order effects, and rank effects in repeated measures |
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109 | (1) |
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5.9 Going further: order and rank effects in repeated measures |
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109 | (4) |
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Chapter 6 Building Experimental Conditions from Random Draws or Permutations |
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113 | (18) |
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6.1 Creation of experimental groups |
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113 | (1) |
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6.2 Randomly counterbalanced series of zeros and ones |
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114 | (2) |
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6.3 Random series of experimental trials |
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116 | (2) |
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6.4 Draw of conditions or participants without replacement |
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118 | (1) |
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6.5 Counterbalancing experimental conditions |
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118 | (3) |
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6.6 Randomization of several word lists by subject |
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121 | (1) |
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6.7 Choice and counterbalancing of experimental conditions |
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122 | (2) |
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6.8 Creation of permuted item lists for each subject |
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124 | (3) |
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6.9 Creation of exhaustive lists and random draws |
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127 | (4) |
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Chapter 7 Creating Stimuli Digitally |
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131 | (26) |
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131 | (3) |
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7.2 Create and combine various stimuli |
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134 | (20) |
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7.2.1 Ten large stimuli of increasing size using linspace |
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134 | (3) |
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137 | (1) |
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7.2.3 Creating simple image stimuli, then varying colors of these stimuli |
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138 | (7) |
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7.2.4 Generate color variations from existing images |
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145 | (2) |
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7.2.5 Creating windows of stimuli to be loaded in other experimentation software |
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147 | (6) |
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153 | (1) |
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154 | (3) |
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Chapter 8 Experimenting with Psychtoolbox (and Others) |
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157 | (40) |
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8.1 Introduction: Psychtoolbox (Psychophysics toolbox) or E-Prime? |
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157 | (1) |
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8.2 MATLAB® experiments with the GUI |
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158 | (2) |
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8.3 MATLAB® experiments with Psychtoolbox |
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160 | (18) |
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8.3.1 Pricing, compatibility and authors |
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160 | (1) |
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8.3.2 Stopping a blocked program |
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160 | (1) |
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8.3.3 Familiarization with Psychtoolbox |
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161 | (1) |
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162 | (1) |
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8.3.5 Taking information from the screen |
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162 | (1) |
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8.3.6 Displaying a stimulus |
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163 | (1) |
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164 | (1) |
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8.3.8 Displaying a rectangle in full screen |
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165 | (2) |
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8.3.9 A mini experiment: memorizing letter sequences |
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167 | (7) |
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8.3.10 Another mini experiment: color wheel memory |
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174 | (4) |
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178 | (19) |
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178 | (2) |
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8.4.2 General properties of the experiment |
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180 | (1) |
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181 | (4) |
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185 | (1) |
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186 | (1) |
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187 | (1) |
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187 | (1) |
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188 | (1) |
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8.4.9 Example of a switching task with E-Prime |
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188 | (9) |
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Part 3 Analysis and Modeling |
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197 | (84) |
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Chapter 9 Analyzing Data: Import, Transformation, Compilation, Restructuring, Aggregation and Use of Statisticstoolbox |
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199 | (36) |
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9.1 Importing and transforming |
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199 | (7) |
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206 | (3) |
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9.3 Extracting digital information from a file that is not organized as a table |
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209 | (5) |
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9.4 Import, combine and manipulate data in a table fonnat |
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214 | (4) |
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9.5 Restructuring and aggregating data in MATLAB® |
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218 | (6) |
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9.6 Restructuring and aggregating data with Excel or SPSS |
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224 | (11) |
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Chapter 10 Introduction to Bayesian Analysis |
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235 | (32) |
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235 | (2) |
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237 | (1) |
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238 | (1) |
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10.4 Principle of Bayesian inference |
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239 | (6) |
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245 | (3) |
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10.6 Statistics: going past rejecting the null hypothesis |
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248 | (2) |
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10.7 What alternative for an implausible null hypothesis? |
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250 | (4) |
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10.8 More complex distributions for calculating whether toast lands more often on the buttered side |
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254 | (6) |
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260 | (4) |
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10.9.1 Bayesian tests with JASP |
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261 | (3) |
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10.10 Cognitive psychology |
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264 | (3) |
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Chapter 11 Complex and Original Figures |
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267 | (14) |
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11.1 Correlation matrix with original diagonal |
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267 | (2) |
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11.2 Dispersion diagram with cohorts |
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269 | (2) |
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11.3 Double Y axis graphs |
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271 | (2) |
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11.4 Multiple juxtaposed figures |
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273 | (5) |
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278 | (3) |
| References |
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281 | (6) |
| Index |
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287 | |
Lisainfo e-raamatute kohta