RStudio Crashes with LoadH5Seurat()

I am trying to run the following script so I can use the h5ad file in seurat. The Convert() function successfully ran and now my RStudio crashes every-time that I run the LoadH5Seurat() command.

# scrna analysis h5ad t-cells

library(Seurat)
library(SeuratDisk)
library(devtools)
library(SeuratData)

Convert("./t-cells.h5ad", dest = "h5seurat", overwrite = TRUE)
Tcells <- LoadH5Seurat("./t-cells.h5seurat")
Tcells@meta.data

It begins to run and spits out :

Validating h5seurat file
Initializing RNA with data

.... Then it Crashes. "RStudio Session Aborted." RStudio Session Info:

R version 4.1.2 (2021-11-01)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Ubuntu 20.04.3 LTS

Matrix products: default
BLAS:   /usr/lib/x86_64-linux-gnu/blas/libblas.so.3.9.0
LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.9.0

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

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

other attached packages:
  [1] SeuratData_0.2.2      devtools_2.4.4        usethis_2.1.6        
[4] SeuratDisk_0.0.0.9020 SeuratObject_4.1.3    Seurat_4.3.0

loaded via a namespace (and not attached):
  [1] Rtsne_0.16             colorspace_2.0-3      
[3] deldir_1.0-6           ellipsis_0.3.2        
[5] ggridges_0.5.4         fs_1.5.2              
[7] rstudioapi_0.13        spatstat.data_3.0-0   
[9] leiden_0.4.3           listenv_0.8.0         
[11] remotes_2.4.2          ggrepel_0.9.2         
[13] bit64_4.0.5            fansi_1.0.3           
[15] codetools_0.2-18       splines_4.1.2         
[17] cachem_1.0.6           pkgload_1.3.0         
[19] polyclip_1.10-4        jsonlite_1.8.3        
[21] ica_1.0-3              cluster_2.1.2         
[23] png_0.1-8              uwot_0.1.14           
[25] shiny_1.7.3            sctransform_0.3.5     
[27] spatstat.sparse_3.0-0  compiler_4.1.2        
[29] httr_1.4.4             assertthat_0.2.1      
[31] Matrix_1.5-3           fastmap_1.1.0         
[33] lazyeval_0.2.2         cli_3.4.1             
[35] later_1.3.0            prettyunits_1.1.1     
[37] htmltools_0.5.3        tools_4.1.2           
[39] igraph_1.3.5           gtable_0.3.1          
[41] glue_1.6.2             RANN_2.6.1            
[43] reshape2_1.4.4         dplyr_1.0.10          
[45] rappdirs_0.3.3         Rcpp_1.0.9            
[47] scattermore_0.8        vctrs_0.5.1           
[49] spatstat.explore_3.0-5 nlme_3.1-153          
[51] progressr_0.11.0       lmtest_0.9-40         
[53] spatstat.random_3.0-1  stringr_1.4.1         
[55] ps_1.7.1               globals_0.16.2        
[57] mime_0.12              miniUI_0.1.1.1        
[59] lifecycle_1.0.3        irlba_2.3.5.1         
[61] goftest_1.2-3          future_1.29.0         
[63] MASS_7.3-54            zoo_1.8-11            
[65] scales_1.2.1           promises_1.2.0.1      
[67] spatstat.utils_3.0-1   parallel_4.1.2        
[69] RColorBrewer_1.1-3     memoise_2.0.1         
[71] reticulate_1.26        pbapply_1.6-0         
[73] gridExtra_2.3          ggplot2_3.4.0         
[75] stringi_1.7.8          pkgbuild_1.3.1        
[77] rlang_1.0.6            pkgconfig_2.0.3       
[79] matrixStats_0.63.0     lattice_0.20-45       
[81] ROCR_1.0-11            purrr_0.3.5           
[83] tensor_1.5             patchwork_1.1.2       
[85] htmlwidgets_1.5.4      processx_3.7.0        
[87] cowplot_1.1.1          bit_4.0.5             
[89] tidyselect_1.2.0       parallelly_1.32.1     
[91] RcppAnnoy_0.0.20       plyr_1.8.8            
[93] magrittr_2.0.3         R6_2.5.1              
[95] profvis_0.3.7          generics_0.1.3        
[97] DBI_1.1.3              pillar_1.8.1          
[99] withr_2.5.0            fitdistrplus_1.1-8    
[101] survival_3.2-13        abind_1.4-5           
[103] sp_1.5-1               tibble_3.1.8          
[105] future.apply_1.10.0    crayon_1.5.2          
[107] hdf5r_1.3.7            KernSmooth_2.23-20    
[109] utf8_1.2.2             spatstat.geom_3.0-3   
[111] plotly_4.10.1          urlchecker_1.0.1      
[113] grid_4.1.2             data.table_1.14.6     
[115] callr_3.7.1            digest_0.6.30         
[117] xtable_1.8-4           tidyr_1.2.1           
[119] httpuv_1.6.6           munsell_0.5.0         
[121] viridisLite_0.4.1      sessioninfo_1.2.2

I set 32GB as the memory for this RStudio Session and before running ReadH5Seurat() I have only used 20%.

mojaveazure / seurat-disk

RStudio Crashes with LoadH5Seurat() #135