You may need to install some of the dependencies separately via Bioconductor. If you install the packages using:
install.packages("BiocManager")
BiocManager::install(pkgs = c('DESeq2', 'impute', 'edgeR', 'cqn', 'topconfects', 'ChAMP', 'clusterProfiler',
'org.Hs.eg.db', 'minfi', 'IlluminaHumanMethylation450kanno.ilmn12.hg19',
'dearseq', 'NOISeq'))
You can then (hopefully) install and run GeoTcgaData as expected:
install.packages("GeoTcgaData", type = "source")
library(GeoTcgaData)
#> =============================================================
#> Hello, friend! welcome to use GeoTcgaData!
#> -------------------------------------------------------------
#> Version:1.1.0
#> =============================================================
lung_squ_count2 <- matrix(c(0.11,0.22,0.43,0.14,0.875,0.66,0.77,0.18,0.29),ncol=3)
rownames(lung_squ_count2) <- c("DISC1","TCOF1","SPPL3")
colnames(lung_squ_count2) <- c("sample1","sample2","sample3")
lung_squ_count2
#> sample1 sample2 sample3
#> DISC1 0.11 0.140 0.77
#> TCOF1 0.22 0.875 0.18
#> SPPL3 0.43 0.660 0.29
result <- fpkmToTpm_matrix(lung_squ_count2)
result
#> sample1 sample2 sample3
#> DISC1 144736.8 83582.09 620967.7
#> TCOF1 289473.7 522388.06 145161.3
#> SPPL3 565789.5 394029.85 233871.0
sessionInfo()
#> R version 4.1.3 (2022-03-10)
#> Platform: x86_64-apple-darwin17.0 (64-bit)
#> Running under: macOS Big Sur/Monterey 10.16
#>
#> Matrix products: default
#> BLAS: /Library/Frameworks/R.framework/Versions/4.1/Resources/lib/libRblas.0.dylib
#> LAPACK: /Library/Frameworks/R.framework/Versions/4.1/Resources/lib/libRlapack.dylib
#>
#> locale:
#> [1] en_AU.UTF-8/en_AU.UTF-8/en_AU.UTF-8/C/en_AU.UTF-8/en_AU.UTF-8
#>
#> attached base packages:
#> [1] stats graphics grDevices utils datasets methods base
#>
#> other attached packages:
#> [1] GeoTcgaData_1.1.0
#>
#> loaded via a namespace (and not attached):
#> [1] Rcpp_1.0.9 plyr_1.8.7 pillar_1.8.0 compiler_4.1.3
#> [5] highr_0.9 R.methodsS3_1.8.2 R.utils_2.12.0 tools_4.1.3
#> [9] digest_0.6.29 evaluate_0.15 lifecycle_1.0.1 tibble_3.1.8
#> [13] R.cache_0.16.0 pkgconfig_2.0.3 rlang_1.0.4 reprex_2.0.1
#> [17] DBI_1.1.3 cli_3.3.0 rstudioapi_0.13 yaml_2.3.5
#> [21] xfun_0.31 fastmap_1.1.0 withr_2.5.0 styler_1.7.0
#> [25] stringr_1.4.0 dplyr_1.0.9 knitr_1.39 generics_0.1.3
#> [29] fs_1.5.2 vctrs_0.4.1 tidyselect_1.1.2 glue_1.6.2
#> [33] R6_2.5.1 fansi_1.0.3 rmarkdown_2.14 purrr_0.3.4
#> [37] magrittr_2.0.3 htmltools_0.5.3 splines_4.1.3 assertthat_0.2.1
#> [41] utf8_1.2.2 nor1mix_1.3-0 stringi_1.7.8 cqn_1.38.0
#> [45] R.oo_1.25.0
Created on 2022-08-08 by the reprex package (v2.0.1)
If installing the dependencies separately doesn't solve the issue, another potential alternative is to define the function yourself. From the source code:
fpkmToTpm <- function(fpkm)
{
exp(log(fpkm) - log(sum(fpkm)) + log(1e6))
}
fpkmToTpm_matrix <- function(fpkm_matrix) {
fpkm_matrix_new <- apply(fpkm_matrix, 2, fpkmToTpm)
}
fpkmToTpm_matrix(J_Rseq)
Does this work?
Also, please edit your question to include the output of the command sessionInfo()