Man pages for intsvy
International Assessment Data Manager
| adj.input | Utility function |
| adj.measlev | Utility function |
| confs | Config files for intsvy studies |
| intsvy.ben.pv | Performance international benchmarks and proficiency levels |
| intsvy.config | Config files for intsvy studies |
| intsvy.log | Logistic regression analysis |
| intsvy.log.pv | Logistic regression analysis with plausible values |
| intsvy.mean | Calculates mean of variable |
| intsvy.mean.pv | Calculates mean achievement score |
| intsvy-package | International Assessment Data Manager |
| intsvy.per.pv | Calculates percentiles |
| intsvy.reg | Regression analysis without plausible values |
| intsvy.reg.pv | Regression analysis with plausible values |
| intsvy.rho | Correlation matrix |
| intsvy.rho.pv | Two-way weighted correlation with plausible values |
| intsvy.select.merge | Select and merge data |
| intsvy.table | Frequency table |
| intsvy.var.label | Data labels |
| is.vlabeled | Utility function |
| piaac.ben.pv | PIAAC proficiency levels |
| piaac.mean | Calculates mean of variable in PIAAC data |
| piaac.mean.pv | Calculates mean achievement score for PIAAC data |
| piaac.reg | Regression analysis for PIAAC |
| piaac.reg.pv | Regression analysis with plausible values for PIAAC |
| piaac.table | Frequency table |
| pirls.ben.pv | PIRLS international benchmarks |
| pirls.log | Logistic regression analysis |
| pirls.log.pv | Logistic regression analysis with plausible values |
| pirls.mean | Calculates mean of variable |
| pirls.mean.pv | Calculates mean achievement score |
| pirls.per.pv | PIRLS percentiles |
| pirls.reg | Regression analysis |
| pirls.reg.pv | Regression analysis with plausible values |
| pirls.rho | Correlation matrix |
| pirls.rho.pv | Two-way weighted correlation with plausible values |
| pirls.select.merge | Select and merge data |
| pirls.table | Frequency table |
| pirls.var.label | Data labels |
| pisa.ben.pv | PISA proficiency levels |
| pisa.log | Logistic regression analysis |
| pisa.log.pv | Logistic regression analysis with plausible values |
| pisa.mean | Calculates mean of variable |
| pisa.mean.pv | Calculates mean achievement score |
| pisa.per.pv | PISA percentiles |
| pisa.reg | Regression analysis |
| pisa.reg.pv | Regression analysis with plausible values |
| pisa.rho | Correlation matrix |
| pisa.select.merge | Select and merge data |
| pisa.table | Frequency table |
| pisa.var.label | Data labels |
| plot.intsvy.mean | Graphical representation of means in groups |
| plot.intsvy.reg | Graphical representation of regression models in groups |
| plot.intsvy.table | Graphical representation of frequency tables |
| timss.ben.pv | TIMSS international benchmarks |
| timssg4.select.merge | Select and merge data |
| timssg4.var.label | Data labels |
| timssg8.select.merge | Select and merge data |
| timssg8.var.label | Data labels |
| timss.log | Logistic regression analysis |
| timss.log.pv | Logistic regression analysis with plausible values |
| timss.mean | Calculates mean of variable |
| timss.mean.pv | Calculates mean achievement score |
| timss.per.pv | TIMSS percentiles |
| timss.reg | Regression analysis |
| timss.reg.pv | Regression analysis with plausible values |
| timss.rho | Correlation matrix |
| timss.rho.pv | Two-way weighted correlation with plausible values |
| timss.table | Frequency table |
