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4,591 to 4,600 of 4,614 Results

RNC_bainki_words.xlsx Jun 16, 2014 - Russian -n'ki words Unknown - 98.1 KB - MD5: 251b536b88e543cf93ee8514ce908839 Russian words ending in -n'ki (the bain'ki 'sleep' type)
Berdicevskis_evolang_data.csv Jun 16, 2014 - Replication data for: Introducing pressure for expressivity into language evolution experiments Plain Text - 39.0 KB - MD5: 38fbf5130df26e48f64d153591f8a069 Results of a language evolution experiment
RNC_nkat_verbs.xls Jun 16, 2014 - Russian -n'kat' verbs MS Excel Spreadsheet - 433.5 KB - MD5: 8b87e1b71299c51fa7421a189b9a9219 All Russian verbs ending in -n'kat' attested in the RNC (as of September 2013)
eret_gerund.xls Jun 16, 2014 - Replication data for: Russian nu-drop verbs MS Excel Spreadsheet - 2.0 MB - MD5: 8c66b2eada8d0d23f64fe36c269c371d Perfective Gerunds from -eret' verbs in Russian
nu_database_smaller_all_tags.xls Jun 16, 2014 - Replication data for: Russian nu-drop verbs MS Excel Spreadsheet - 27.3 MB - MD5: 9964000eecfc1d5dd26254dccb658b07 Nu-drop database
Database for the V article.xlsx Jun 16, 2014 - Replication data for: V-temporal adverbials in Slavic Unknown - 284.6 KB - MD5: a043400bcddd91ffa386f6d03cd1bf97 The database for the cited publication
PrCompV.csv Jun 16, 2014 - Replication data for: V-temporal adverbials in Slavic Plain Text - 61.5 KB - MD5: 33258e908be021fcb1ccb4f38cee475b The database for statistical analysis
PrCompV.R Jun 16, 2014 - Replication data for: V-temporal adverbials in Slavic Plain Text - 2.9 KB - MD5: 3eff738341c6b7f07b5143cf75ce9971 R script used for the analysis: Principle Components
Ch3Table1Correct.R Jun 16, 2014 - Why Russian Prefixes Aren’t Empty Plain Text - 1.1 KB - MD5: 11d1c771365686606e450d20d886f0e1 This R script will give you the chi-squared value, the degrees of freedom, the p-value, and the effect size for Table 1 in Chapter 3. You can open and read the commentary in the R script to see how it is done.
Ch3Table1.exp.values.R Jun 16, 2014 - Why Russian Prefixes Aren’t Empty Plain Text - 3.2 KB - MD5: 460e10aa9d60a3b0fa52e4c9e4a76264 We used a simple formula involving the row and column totals in order to calculate the expected values for all the cells in Table 1. Here it is: expected value = (row sum x column sum) / total sum. The total sum for Table 1 is 382, and all of the row and column totals are listed in Table 1 in Chapter 3. This R script will compute and print out for...

RNC_bainki_words.xlsx

Jun 16, 2014 - Russian -n'ki words

Unknown - 98.1 KB -

Russian words ending in -n'ki (the bain'ki 'sleep' type)

Berdicevskis_evolang_data.csv

Jun 16, 2014 - Replication data for: Introducing pressure for expressivity into language evolution experiments

Plain Text - 39.0 KB -

Results of a language evolution experiment

RNC_nkat_verbs.xls

Jun 16, 2014 - Russian -n'kat' verbs

MS Excel Spreadsheet - 433.5 KB -

All Russian verbs ending in -n'kat' attested in the RNC (as of September 2013)

eret_gerund.xls

Jun 16, 2014 - Replication data for: Russian nu-drop verbs

MS Excel Spreadsheet - 2.0 MB -

Perfective Gerunds from -eret' verbs in Russian

nu_database_smaller_all_tags.xls

Jun 16, 2014 - Replication data for: Russian nu-drop verbs

MS Excel Spreadsheet - 27.3 MB -

Nu-drop database

Database for the V article.xlsx

Jun 16, 2014 - Replication data for: V-temporal adverbials in Slavic

Unknown - 284.6 KB -

The database for the cited publication

PrCompV.csv

Jun 16, 2014 - Replication data for: V-temporal adverbials in Slavic

Plain Text - 61.5 KB -

The database for statistical analysis

PrCompV.R

Jun 16, 2014 - Replication data for: V-temporal adverbials in Slavic

Plain Text - 2.9 KB -

R script used for the analysis: Principle Components

Ch3Table1Correct.R

Jun 16, 2014 - Why Russian Prefixes Aren’t Empty

Plain Text - 1.1 KB -

This R script will give you the chi-squared value, the degrees of freedom, the p-value, and the effect size for Table 1 in Chapter 3. You can open and read the commentary in the R script to see how it is done.

Ch3Table1.exp.values.R

Jun 16, 2014 - Why Russian Prefixes Aren’t Empty

Plain Text - 3.2 KB -

We used a simple formula involving the row and column totals in order to calculate the expected values for all the cells in Table 1. Here it is: expected value = (row sum x column sum) / total sum. The total sum for Table 1 is 382, and all of the row and column totals are listed in Table 1 in Chapter 3. This R script will compute and print out for...

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