search for: cregion

Displaying 4 results from an estimated 4 matches for "cregion".

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disculpe las molestias ...ayuda con MICE
2013 Oct 30
1
disculpe las molestias ...ayuda con MICE
...quot;Pennsylvania", "Rhode Island", "South Carolina", "Tennessee", > + "Texas", "Utah", "Vermont", "Virginia", "Washington", "West Virginia", > + "Wisconsin"), class = "factor"), cregion = structure(c(2L, 2L, > + 1L, 1L, 3L, 3L, 1L, 1L, 3L, 3L, 3L, 3L, 1L, 1L, 1L, 3L, 1L, 3L, > + 1L, 1L, 4L, 1L, 1L, 1L, 3L, 3L, 3L, 3L, 3L, 4L, 3L, 2L, 3L, 3L, > + 2L, 4L, 1L, 4L, 1L, 4L, 4L, 1L, 4L, 1L, 4L, 4L, 2L, 4L, 4L, 4L > + ), .Label = c("Midwest", "Northeast",...
disculpe las molestias ...ayuda con MICE
2013 Oct 30
0
disculpe las molestias ...ayuda con MICE
...n", "Pennsylvania", "Rhode Island", "South Carolina", "Tennessee", + "Texas", "Utah", "Vermont", "Virginia", "Washington", "West Virginia", + "Wisconsin"), class = "factor"), cregion = structure(c(2L, 2L, + 1L, 1L, 3L, 3L, 1L, 1L, 3L, 3L, 3L, 3L, 1L, 1L, 1L, 3L, 1L, 3L, + 1L, 1L, 4L, 1L, 1L, 1L, 3L, 3L, 3L, 3L, 3L, 4L, 3L, 2L, 3L, 3L, + 2L, 4L, 1L, 4L, 1L, 4L, 4L, 1L, 4L, 1L, 4L, 4L, 2L, 4L, 4L, 4L + ), .Label = c("Midwest", "Northeast", "South", &...
disculpe las molestias ...ayuda con MICE
2013 Oct 30
2
disculpe las molestias ...ayuda con MICE
...regon", "Pennsylvania", "Rhode Island", "South Carolina", "Tennessee", "Texas", "Utah", "Vermont", "Virginia", "Washington", "West Virginia", "Wisconsin"), class = "factor"), cregion = structure(c(2L, 2L, 1L, 1L, 3L, 3L, 1L, 1L, 3L, 3L, 3L, 3L, 1L, 1L, 1L, 3L, 1L, 3L, 1L, 1L, 4L, 1L, 1L, 1L, 3L, 3L, 3L, 3L, 3L, 4L, 3L, 2L, 3L, 3L, 2L, 4L, 1L, 4L, 1L, 4L, 4L, 1L, 4L, 1L, 4L, 4L, 2L, 4L, 4L, 4L ), .Label = c("Midwest", "Northeast", "South", "Wes...
automating merging operations from multiple dataframes
2007 Apr 23
1
automating merging operations from multiple dataframes
...quot;)] > PidRegion <- merge(PidRegion, this.region, by="pid", all=T) > this.region <- BINDSLIM[,c("pid", "bregion")] > PidRegion <- merge(PidRegion, this.region, by="pid", all=T) > this.region <- CINDSLIM[,c("pid", "cregion")] ... > this.region <- NINDSLIM[,c("pid", "nregion")] > PidRegion <- merge(PidRegion, this.region, by="pid", all=T) But surely there’s a way to automate this? Any suggestions? Jon Minton Checked by AVG Free Edition. 22/04/20...