lasso retained features with new coding
- `presence`: average strategy presence/use
```r
feature b presence
<char> <num> <num>
1: audience_adaptation 0.614 0.190
2: contrastive_tone2 0.469 0.300 # new coding
3: evidence_or_factbased_arguments 0.360 0.642
4: conditionZ:preZ 0.276 NA
5: transfer_of_association 0.256 0.228
6: topicZ 0.238 NA
7: politeness_and_civil_tone 0.233 0.974
8: negative_tone2 0.187 0.072 # new coding
9: positive_tone2 0.171 0.321 # new coding
10: namecalling 0.077 0.095
11: relatable_hypotheticals 0.069 0.092
12: encourage_action_with_clear_calls 0.066 0.250
13: topicZ:preZ -0.016 NA
14: conditionZ:topicZ -0.106 NA
15: emotional_appeal_with_balanced_urgency -0.142 0.223
16: stimulate_anger -0.300 0.055
17: address_objections_and_counterarguments -1.014 0.451
18: preZ -2.183 NA
# without z-scoring all the strategies
feature b presence
<char> <num> <num>
1: audience_adaptation 2.393 0.190
2: contrastive_tone2 1.658 0.300
3: evidence_or_factbased_arguments 1.229 0.642
4: transfer_of_association 1.041 0.228
5: conditionZ:preZ 0.434 NA
6: positive_tone2 0.300 0.321
7: topicZ 0.289 NA
8: encourage_action_with_clear_calls 0.282 0.250
9: conditionZ -0.002 NA
10: conditionZ:topicZ:preZ -0.020 NA
11: topicZ:preZ -0.147 NA
12: conditionZ:topicZ -0.182 NA
13: preZ -2.260 NA
14: address_objections_and_counterarguments -3.359 0.451
```
for comparison, lasso retained features with old coding:
- features included in above but not below:
- `topicZ:preZ`, `namecalling`
```r
feature b presence
<char> <num> <num>
1: audience_adaptation 0.581 0.190
2: contrastive_tone 0.378 0.610 # original LLM coding (variable was excluded in original lasso)
3: evidence_or_factbased_arguments 0.292 0.642
4: topicZ 0.258 NA
5: negative_tone 0.234 0.372 # original LLM coding
6: positive_tone 0.220 0.622 # original LLM coding
7: conditionZ:preZ 0.204 NA
8: politeness_and_civil_tone 0.195 0.974
9: transfer_of_association 0.169 0.228
10: relatable_hypotheticals 0.053 0.092
11: encourage_action_with_clear_calls 0.016 0.250
12: conditionZ:topicZ -0.071 NA
13: emotional_appeal_with_balanced_urgency -0.128 0.223
14: stimulate_anger -0.262 0.055
15: address_objections_and_counterarguments -0.948 0.451
16: preZ -2.175 NA
# without z-scoring all the strategies
feature b presence
<char> <num> <num>
1: audience_adaptation 2.342 0.190
2: contrastive_tone 1.493 0.610
3: positive_tone 1.221 0.622
4: evidence_or_factbased_arguments 0.938 0.642
5: negative_tone 0.771 0.372
6: transfer_of_association 0.663 0.228
7: topicZ 0.413 NA
8: conditionZ:preZ 0.335 NA
9: encourage_action_with_clear_calls 0.304 0.250
10: conditionZ 0.058 NA
11: topicZ:preZ -0.149 NA
12: conditionZ:topicZ -0.204 NA
13: emotional_appeal_with_balanced_urgency -0.272 0.223
14: preZ -2.525 NA
15: address_objections_and_counterarguments -3.263 0.451
```