Closed plath997 closed 5 years ago
Hi, can you please provide the full code you're using and the output of sessionInfo()
?
Here's the code:
library('Seurat')
library(reticulate)
load('/home/files/jan/raw_objs/funston.RData')
funston = RunUMAP('funston')
Error in py_call_impl(callable, dots$args, dots$keywords) :
ValueError: could not convert string to float: 'funston'
When I take out the quotation marks in the RunUMAP
command, I get this:
funston = RunUMAP(funston)
Error in as.vector(data) :
no method for coercing this S4 class to a vector
Session info:
R version 3.6.0 (2019-04-26)
Platform: x86_64-pc-linux-gnu (64-bit)
Matrix products: default
BLAS: /home/shared/cbc/software_cbc/R/R-3.6.0/lib64/R/lib/libRblas.so
LAPACK: /home/shared/cbc/software_cbc/R/R-3.6.0/lib64/R/lib/libRlapack.so
locale:
[1] C
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] reticulate_1.12 Seurat_3.0.0
loaded via a namespace (and not attached):
[1] httr_1.4.0 tidyr_0.8.3 jsonlite_1.6
[4] viridisLite_0.3.0 splines_3.6.0 lsei_1.2-0
[7] R.utils_2.8.0 gtools_3.8.1 Rdpack_0.11-0
[10] assertthat_0.2.1 ggrepel_0.8.1 globals_0.12.4
[13] pillar_1.3.1 lattice_0.20-38 glue_1.3.1
[16] digest_0.6.18 RColorBrewer_1.1-2 SDMTools_1.1-221.1
[19] colorspace_1.4-1 cowplot_0.9.4 htmltools_0.3.6
[22] Matrix_1.2-17 R.oo_1.22.0 plyr_1.8.4
[25] pkgconfig_2.0.2 bibtex_0.4.2 tsne_0.1-3
[28] listenv_0.7.0 purrr_0.3.2 scales_1.0.0
[31] RANN_2.6.1 gdata_2.18.0 Rtsne_0.15
[34] tibble_2.1.1 ggplot2_3.1.1 ROCR_1.0-7
[37] pbapply_1.4-0 lazyeval_0.2.2 survival_2.44-1.1
[40] magrittr_1.5 crayon_1.3.4 R.methodsS3_1.7.1
[43] future_1.12.0 nlme_3.1-139 MASS_7.3-51.4
[46] gplots_3.0.1.1 ica_1.0-2 tools_3.6.0
[49] fitdistrplus_1.0-14 data.table_1.12.2 gbRd_0.4-11
[52] stringr_1.4.0 plotly_4.9.0 munsell_0.5.0
[55] cluster_2.0.8 irlba_2.3.3 compiler_3.6.0
[58] rsvd_1.0.0 caTools_1.17.1.2 rlang_0.3.4
[61] grid_3.6.0 ggridges_0.5.1 htmlwidgets_1.3
[64] igraph_1.2.4.1 bitops_1.0-6 npsurv_0.4-0
[67] gtable_0.3.0 codetools_0.2-16 reshape2_1.4.3
[70] R6_2.4.0 gridExtra_2.3 zoo_1.8-5
[73] dplyr_0.8.0.1 future.apply_1.2.0 KernSmooth_2.23-15
[76] metap_1.1 ape_5.3 stringi_1.4.3
[79] parallel_3.6.0 Rcpp_1.0.1 sctransform_0.2.0
[82] png_0.1-7 tidyselect_0.2.5 lmtest_0.9-37
Any advice would be greatly appreciated!
Can you run class(funston)
and provide the output, and include the script used to make the object if you can.
Here's the output to class(funston)
:
class(funston)
[1] "seurat"
attr(,"package")
[1] "Seurat"
I am still looking for the code, but I know that this object is a merged from several different samples.
That's a Seurat v2 object, you need to update it to v3 before running any v3 functions.
funston <- UpdateSeuratObject(funston)
I tried to update the object, but now I get this error:
funston <- UpdateSeuratObject(funston)
Error in if (grepl(pattern = "^[[:alnum:]]+_", x = key)) { :
argument is of length zero
Can you send me the object? It's hard to debug this further without it
Here's the google drive link: https://drive.google.com/file/d/1dT2etUFoTwXrmn_C203LY1xqXaN8m3M2/view?usp=sharing
Let me know if you have issues accessing
Hi, the issue was due to a missing dimension reduction key for the fastPCA
reduction in the v2 object. I have added a check for missing keys in the UpdateSeuratObject
function, which will be available on the develop
branch shortly. Here's a link to the updated object: https://www.dropbox.com/s/eftddgg2hrs74od/funston_v3.Rdata?dl=0
Thank you!
@timoast Thank you so much.
I had the same issue with the Seuratv2 object. After using "UpdateSeuratObject" command I just had to adapt my commands to Seuratv3 and it worked and I could do RunUMAP! :)
Hello,
I am trying to call the
RunUMAP
function on the object 'funston', but I have encountered this error:RunUMAP('funston')
Error in py_call_impl(callable, dots$args, dots$keywords) :
ValueError: could not convert string to float: 'funstun'
I have installed umap via
pip3 install umap-learn
I am running Seurat v3 with R 3.6.0 on a Linux server. Any help would be much appreciated!