HCBravoLab / metagenomeSeq

Statistical analysis for sparse high-throughput sequencing
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MetagenomeSeq fitZig issue #64

Closed JingQiuyu closed 4 years ago

JingQiuyu commented 5 years ago

when using fitZig function, after iteration, the stillActive=139, and the error message is as follows: Error in if (df2[1] > 1e+06) fit$F.p.value <- pchisq(df1 * fit$F, df1, : missing value where TRUE/FALSE needed

the fitting arguments are as follows: settings=zigControl(maxit=100,verbose=TRUE) fit=fitZig(obj=test_V,mod=mod,useCSSoffset = FALSE,control = settings)

Does anyone know what happened here?

jnpaulson commented 5 years ago

Do you have all zeros in a few of your samples?

On Thu, Jan 17, 2019 at 9:21 AM JingQiuyu notifications@github.com wrote:

when using fitZig function, after iteration, the stillActive=139, and the error message is as follows: Error in if (df2[1] > 1e+06) fit$F.p.value <- pchisq(df1 * fit$F, df1, : missing value where TRUE/FALSE needed

the fitting arguments are as follows: settings=zigControl(maxit=100,verbose=TRUE) fit=fitZig(obj=test_V,mod=mod,useCSSoffset = FALSE,control = settings)

Does anyone know what happened here?

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JingQiuyu commented 5 years ago

No, the count matrix is quite sparse. But for each sample, it's not all 0s.

jnpaulson commented 5 years ago

Feel free to email me an MRE and I’ll look into it. On Thu, Jan 17, 2019 at 10:02 AM JingQiuyu notifications@github.com wrote:

No, the count matrix is quite sparse. But for each sample, it's not all 0s.

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JingQiuyu commented 5 years ago

Hi Joseph,

It’s hard for me to send you the MRexperiment. The attached is the matrix after CSS normalization, with each column as one sample, and each row as one species. There are two groups of sample.

Looking forward to your opinion about the issue.

Best, Qiuyu


From: Joseph N. Paulson notifications@github.com Sent: Thursday, January 17, 2019 5:03:30 PM To: HCBravoLab/metagenomeSeq Cc: Qiuyu JING; Author Subject: Re: [HCBravoLab/metagenomeSeq] MetagenomeSeq fitZig issue (#64)

Feel free to email me an MRE and I’ll look into it. On Thu, Jan 17, 2019 at 10:02 AM JingQiuyu notifications@github.com wrote:

No, the count matrix is quite sparse. But for each sample, it's not all 0s.

— You are receiving this because you commented.

Reply to this email directly, view it on GitHub https://github.com/HCBravoLab/metagenomeSeq/issues/64#issuecomment-455094371, or mute the thread https://github.com/notifications/unsubscribe-auth/AC5hg7gRqYQvH0R9iwTzhIfxZvtU6LBYks5vEDwhgaJpZM4aErXM .

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eam12 commented 5 years ago

Was this error ever solved? I'm currently getting the same error.

hcorrada commented 5 years ago

Please post your sessionInfo()

eam12 commented 5 years ago

sessionInfo()

R version 3.6.1 (2019-07-05) Platform: x86_64-w64-mingw32/x64 (64-bit) Running under: Windows 10 x64 (build 18362)

Matrix products: default

locale: [1] LC_COLLATE=English_United States.1252 [2] LC_CTYPE=English_United States.1252
[3] LC_MONETARY=English_United States.1252 [4] LC_NUMERIC=C
[5] LC_TIME=English_United States.1252

attached base packages: [1] parallel stats graphics grDevices [5] utils datasets methods base

other attached packages: [1] dplyr_0.8.3 reshape2_1.4.3
[3] magrittr_1.5 phyloseq_1.28.0
[5] ggplot2_3.2.1 metagenomeSeq_1.26.2 [7] RColorBrewer_1.1-2 glmnet_2.0-18
[9] foreach_1.4.4 Matrix_1.2-17
[11] limma_3.40.5 Biobase_2.44.0
[13] BiocGenerics_0.30.0

loaded via a namespace (and not attached): [1] Rcpp_1.0.1 locfit_1.5-9.1
[3] ape_5.3 lattice_0.20-38
[5] gtools_3.8.1 IHW_1.12.0
[7] Biostrings_2.52.0 digest_0.6.20
[9] assertthat_0.2.1 slam_0.1-45
[11] R6_2.4.0 plyr_1.8.4
[13] stats4_3.6.1 pillar_1.4.2
[15] gplots_3.0.1.1 zlibbioc_1.30.0
[17] rlang_0.4.0 lazyeval_0.2.2
[19] gdata_2.18.0 rstudioapi_0.10
[21] data.table_1.12.2 vegan_2.5-5
[23] S4Vectors_0.22.0 labeling_0.3
[25] splines_3.6.1 stringr_1.4.0
[27] igraph_1.2.4.1 Wrench_1.2.0
[29] munsell_0.5.0 compiler_3.6.1
[31] xfun_0.8 pkgconfig_2.0.2
[33] multtest_2.40.0 mgcv_1.8-28
[35] biomformat_1.12.0 tidyselect_0.2.5
[37] tibble_2.1.3 IRanges_2.18.1
[39] codetools_0.2-16 matrixStats_0.54.0 [41] permute_0.9-5 withr_2.1.2
[43] crayon_1.3.4 ggpubr_0.2.2
[45] bitops_1.0-6 MASS_7.3-51.4
[47] grid_3.6.1 nlme_3.1-140
[49] jsonlite_1.6 gtable_0.3.0
[51] scales_1.0.0 KernSmooth_2.23-15 [53] stringi_1.4.3 XVector_0.24.0
[55] ggsignif_0.6.0 fdrtool_1.2.15
[57] lpsymphony_1.12.0 Rhdf5lib_1.6.0
[59] iterators_1.0.12 tools_3.6.1
[61] ade4_1.7-13 glue_1.3.1
[63] purrr_0.3.2 survival_2.44-1.1 [65] colorspace_1.4-1 rhdf5_2.28.0
[67] cluster_2.1.0 caTools_1.17.1.2
[69] knitr_1.24

hcorrada commented 5 years ago

Thanks. Can you provide a reproducible example that raises this error?

eam12 commented 4 years ago

We figured out the issue. Thank you!

hcorrada commented 4 years ago

Wonderful! Let us know if we can be of further help.