In n1 * n2 : NAs produced by integer overflow
0
1
Entering edit mode
songyurita ▴ 10
@songyurita-9704
Last seen 6.6 years ago

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

unifiedWMWqPCR • 1.8k views
ADD COMMENT
0
Entering edit mode

Hi, I'm a bit amazed about this error. This error indicates that you have more than 45000 subjects in every group, and that seems quite weird when doing qPCR.  Could you give me the outcome of `str(t)` and a bit more info on the setup?

ADD REPLY

Login before adding your answer.

Traffic: 456 users visited in the last hour
Help About
FAQ
Access RSS
API
Stats

Use of this site constitutes acceptance of our User Agreement and Privacy Policy.

Powered by the version 2.3.6