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It is recommended that you familiarise yourself with R first by sitting our Introduction to R tutorial. It also requires that you have the DataSHIELD training environment installed on your machine, see our Installation Instructions for Linux, Windows, or Mac. |
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DataSHIELD support is freely available in the DataSHIELD forum by the DataSHIELD community. Please use this as the first port of call for any problems you may be having, it is monitored closely for new threads. DataSHIELD bespoke user support and also user training classes are offered on a fee-paying basis. Please enquire at datashield@newcastle.ac.uk for current prices. |
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Aggregated (asFactorDS1("DST$DIS_DIAB")) [===============================================] 100% / 0s Aggregated (asFactorDS1("DST$GENDER")) [=================================================] 100% / 0s Aggregated (tableDS(rvar.transmit = "DST$DIS_DIAB", cvar.transmit = "DST$GENDER", ) [======] 100% / 0s Data in all studies were valid Study 1 : No errors reported from this study Study 2 : No errors reported from this study $output.list $output.list$TABLE.STUDY.1_row.props DST$GENDER DST$DIS_DIAB 0 1 0 0.502 0.498 1 0.700 0.300 $output.list$TABLE.STUDY.1_col.props DST$GENDER DST$DIS_DIAB 0 1 0 0.9810 0.9920 1 0.0192 0.0084 $output.list$TABLE.STUDY.2_row.props DST$GENDER DST$DIS_DIAB 0 1 0 0.511 0.489 1 0.660 0.340 $output.list$TABLE.STUDY.2_col.props DST$GENDER DST$DIS_DIAB 0 1 0 0.9800 0.9890 1 0.0196 0.0106 $output.list$TABLES.COMBINED_all.sources_row.props D$GENDERDST$GENDER D$DISDST$DIS_DIAB 0 1 0 0.507 0.493 1 0.675 0.325 $output.list$TABLES.COMBINED_all.sources_col.props DST$GENDER DST$DIS_DIAB 0 1 0 0.9810 0.99000 1 0.0194 0.00971 $output.list$TABLE_STUDY.1_counts DST$GENDER DST$DIS_DIAB 0 1 0 1071 1062 1 21 9 $output.list$TABLE_STUDY.2_counts D$GENDERDST$GENDER D$DISDST$DIS_DIAB 0 1 0 1554 1487 1 31 16 $output.list$TABLES.COMBINED_all.sources_counts DST$GENDER DST$DIS_DIAB 0 1 0 2625 2549 1 52 25 $validity.message [1] "Data in all studies were valid" |
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