Dear all,

I have a problem occurring using the command dmrfinder
> dmrs0 <- dmrFinder(bsseqbismark_smooth_chrI_location3_5_tstat, cutoff = c(-4.6, 4.6))
Error in dmrFinder(bsseqbismark_smooth_chrI_location3_5_tstat, cutoff = c(-4.6, : 'stat' needs to be a column of 'bstat@stats'
I checked the
> colnames(bsseqbismark_smooth_chrI_location3_5_tstat@stats)
[1] "rawSds" "tstat.sd" "group2.means" "group1.means" "tstat"

this is the same as in your example cancer data set, except the
> colnames(BS.cancer.ex.tstat@stats)
[1] "rawSds" "tstat.sd" "group2.means" "group1.means" "tstat" [6] "tstat.corrected"

My object is
An object of type 'BSseqTstat' with 50684 methylation loci based on smoothed data: BSmooth (ns = 70, h = 1000, maxGap = 100000000) with parameters BSmooth.tstat (local.correct = FALSE, maxGap = 100000000) 'stats' slot is in-memory

The difference I find to your example data is that I have also:
> class(bsseqbismark_smooth_chrI_location3_5_tstat@stats)
[1] "DelayedMatrix" attr(,"package") [1] "DelayedArray"

and you have

> class(BS.cancer.ex.tstat@stats)
[1] "matrix"
Do you know what is happening? Can I provide you with more information? Should I prevent to get a Delayed Array? Does this come from how I subsetted my data to the type 3 and 5?

bsseqbismark_smooth_chrI_location3_5 <- (bsseqbismark_smooth_chrI[, which(bsseqbismark_smooth_chrI$Type %in% c(3,5))])

Thanks  a lot!! 

R version 3.4.0 (2017-04-21)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Ubuntu 16.04.2 LTS

Matrix products: default
BLAS: /usr/lib/libblas/libblas.so.3.6.0
LAPACK: /usr/lib/lapack/liblapack.so.3.6.0

locale:
 [1] LC_CTYPE=en_US.UTF-8       LC_NUMERIC=C               LC_TIME=en_US.UTF-8        LC_COLLATE=en_US.UTF-8    
 [5] LC_MONETARY=en_US.UTF-8    LC_MESSAGES=en_US.UTF-8    LC_PAPER=en_US.UTF-8       LC_NAME=C                 
 [9] LC_ADDRESS=C               LC_TELEPHONE=C             LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C       

attached base packages:
[1] stats4    parallel  stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
 [1] bsseqData_0.14.0           bsseq_1.12.1               SummarizedExperiment_1.6.3 DelayedArray_0.2.7        
 [5] matrixStats_0.52.2         Biobase_2.36.2             GenomicRanges_1.28.3       GenomeInfoDb_1.12.2       
 [9] IRanges_2.10.2             S4Vectors_0.14.3           BiocGenerics_0.22.0       

loaded via a namespace (and not attached):
 [1] Rcpp_0.12.11            XVector_0.16.0          zlibbioc_1.22.0         munsell_0.4.3           colorspace_1.3-2       
 [6] lattice_0.20-35         plyr_1.8.4              tools_3.4.0             grid_3.4.0              data.table_1.10.4      
[11] R.oo_1.21.0             gtools_3.5.0            permute_0.9-4           Matrix_1.2-10           GenomeInfoDbData_0.99.0
[16] R.utils_2.5.0           bitops_1.0-6            RCurl_1.95-4.8          limma_3.32.2            compiler_3.4.0         
[21] R.methodsS3_1.7.1       scales_0.4.1            locfit_1.5-9.1    ```