I have a pretty big sample size here. How can I make it through the uWMW? Thanks!

Here is the info:

> sessionInfo()
R version 3.2.3 (2015-12-10)
Platform: x86_64-apple-darwin13.4.0 (64-bit)
Running under: OS X 10.9.4 (Mavericks)

locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
 [1] unifiedWMWqPCR_1.6.0 dplyr_0.4.3          scales_0.3.0         mailR_0.4.1          hwriter_1.3.2        forecast_6.2         timeDate_3012.100    zoo_1.7-12          
 [9] RMySQL_0.10.8        tagStats_1.1         jsonlite_0.9.19      RCurl_1.95-4.7       bitops_1.0-6         httr_1.1.0           R.utils_2.2.0        R.oo_1.19.0         
[17] R.methodsS3_1.7.0    xlsx_0.5.7           xlsxjars_0.6.1       RUnit_0.4.31         data.table_1.9.6     stringr_1.0.0        ggplot2_2.0.0        reshape2_1.4.1      
[25] plyr_1.8.3           RPostgreSQL_0.4      RJDBC_0.2-5          rJava_0.9-8          DBI_0.3.1           

loaded via a namespace (and not attached):
 [1] gtools_3.5.0          lattice_0.20-33       HTqPCR_1.24.0         colorspace_1.2-6      stats4_3.2.3          chron_2.3-47          RColorBrewer_1.1-2    affy_1.48.0          
 [9] BiocGenerics_0.16.1   affyio_1.40.0         zlibbioc_1.16.0       munsell_0.4.2         gtable_0.1.2          caTools_1.17.1        Biobase_2.30.0        tseries_0.10-34      
[17] BiocInstaller_1.20.1  parallel_3.2.3        preprocessCore_1.32.0 Rcpp_0.12.3           KernSmooth_2.23-15    limma_3.26.7          gdata_2.17.0          fracdiff_1.4-2       
[25] gplots_2.17.0         stringi_1.0-1         grid_3.2.3            quadprog_1.5-5        tools_3.2.3           magrittr_1.5          assertthat_0.1        R6_2.1.2             
[33] nnet_7.3-12          

> dim(t)
[1] 374233     10

> uWMW.out <- uWMW( x=t, groups ='version_id',   feat.names='none', subjects ='user_id',  value='c')

Error in if (sum(diag(results[[4]]) < 0) > 0) warning("One or more variance estimates are negative") : 
  missing value where TRUE/FALSE needed
In addition: Warning message:
In n1 * n2 : NAs produced by integer overflow