Hvis du står og mangler en identifikationsvariabel i dit datasæt/din data frame, altså en variabel hvor hver række har en unik værdi, er det heldigvis nemt at lave dette i R såvel som i Stata. I R overskriver du blot din data frame (i dette tilfælde kaldt din.dataframe) med en ny data frame, der har […]
Category: statistics
Potpourri: Statistik #23
168. How Can I Get Started Using R? 169. Is withholding your data simply bad science, or should it fall under scientific misconduct? 170. Data poverty makes it harder to fix real poverty. That’s why the UN should push countries to gather and share data. 171. Capital in the 21st Century in R 172. A […]
Potpourri: Statistik #22
159. Power naps: When do within-subject comparisons help vs. hurt (yes, hurt) power? 160. Communicating Experimental Results with R 161. Two proposals for incentivizing data archiving 162. Graphical Data Analysis with R 163. Understanding the t-distribution and its normal approximation: an interactive visualization 164. Sluggish data sharing hampers reproducibility effort 165. Self Evaluation for Reproducible […]
Potpourri: Statistik #21
153. Reproducing Statistical Results (h/t @ingorohlfing) 154. Beyond Bar and Line Graphs: Time for a New Data Presentation Paradigm 155. Software development skills for data scientists (via @fazol) 156. Leading journal verifies articles before publication – so far, all replications failed 157. Explained Visually 158. The Pseudo Third Dimension (h/t @hadleywickham)
Potpourri: Statistik #20
146. The AJPS Replication Policy: Innovations and Revisions 147. Underreporting in Political Science Survey Experiments: Comparing Questionnaires to Published Results 148. A Compendium of Clean Graphs in R 149. Bringing the Gold Standard into the Classroom: Replication in University Teaching 150. Awesome Public Datasets 151. Using Bayes Factors to Get the Most out of Linear […]