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Note
titlePrerequisites

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.


Tip
titleHelp

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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Code Block
themeRDark
  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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