Hi, I am new to R and this is my first post in the community. I am trying to run pvca on my data which has a set of clinical annotations and protein expression data for a pool of patients. All of the data is numeric. Below is the code. Can I please get help from the community in troubleshooting the error that I have specified below?
>data <- read.csv("C:/Users/jyotrao/Documents/Projects/TR2021CVTRnD/data_analysis/data/NASHCAdata2.csv",header=TRUE,sep=',', row.names=NULL)
>View(data)
>pct_threshold <- 0.6
>batch.factors <- c("Age","Gender","Height.cm","Weight.kg","BMI","VAT","AST.IU","ALT.IU","Bilirubin.mgdl","Prothrombin.Time.s","Activated.Partial.Thromboplastin.Time.s","Albumin.gdL","ALP.IU","GGT.IU","LDL","VLDL","Triglycerides","BUN","HBA1C","T4","NAS.CRN.score","Fibrosis")
>pvcaObj <- pvcaBatchAssess(data, batch.factors, pct_threshold)
>print(sessionInfo())
# problematic part of code
>pvcaObj <- pvcaBatchAssess(data, batch.factors, pct_threshold)
# error obtained
Error in h(simpleError(msg, call)) :
error in evaluating the argument 'object' in selecting a method for function 'exprs': unable to find an inherited method for function ‘vsn2’ for signature ‘"data.frame"’
sessionInfo( )
R version 4.2.1 (2022-06-23 ucrt) Platform: x86_64-w64-mingw32/x64 (64-bit) Running under: Windows 10 x64 (build 17763)
Matrix products: default
locale: [1] LC_COLLATE=English_India.1252 LC_CTYPE=English_India.1252 LC_MONETARY=English_India.1252 [4] LC_NUMERIC=C LC_TIME=English_India.1252
attached base packages: [1] stats graphics grDevices utils datasets methods base
other attached packages: [1] pvca_1.38.0
loaded via a namespace (and not attached):
[1] Rcpp_1.0.9 lubridate_1.9.0 lattice_0.20-45 listenv_0.9.0 class_7.3-20
[6] digest_0.6.31 ipred_0.9-13 foreach_1.5.2 utf8_1.2.2 parallelly_1.33.0
[11] R6_2.5.1 plyr_1.8.8 hardhat_1.2.0 stats4_4.2.1 ggplot2_3.4.0
[16] pillar_1.8.1 zlibbioc_1.44.0 rlang_1.0.6 caret_6.0-93 minqa_1.2.5
[21] data.table_1.14.6 nloptr_2.0.3 rpart_4.1.19 Matrix_1.5-3 preprocessCore_1.60.1
[26] splines_4.2.1 lme4_1.1-31 gower_1.0.1 stringr_1.5.0 munsell_0.5.0
[31] compiler_4.2.1 pkgconfig_2.0.3 BiocGenerics_0.44.0 globals_0.16.2 nnet_7.3-18
[36] tidyselect_1.2.0 tibble_3.1.8 prodlim_2019.11.13 codetools_0.2-18 fansi_1.0.3
[41] future_1.30.0 dplyr_1.0.10 withr_2.5.0 MASS_7.3-58.1 recipes_1.0.3
[46] ModelMetrics_1.2.2.2 grid_4.2.1 nlme_3.1-161 gtable_0.3.1 lifecycle_1.0.3
[51] affy_1.76.0 magrittr_2.0.3 pROC_1.18.0 scales_1.2.1 future.apply_1.10.0
[56] cli_3.4.1 stringi_1.7.8 reshape2_1.4.4 affyio_1.68.0 limma_3.54.0
[61] timeDate_4022.108 generics_0.1.3 vctrs_0.5.1 boot_1.3-28.1 lava_1.7.1
[66] iterators_1.0.14 tools_4.2.1 Biobase_2.58.0 glue_1.6.2 purrr_1.0.0
[71] parallel_4.2.1 survival_3.4-0 timechange_0.1.1 colorspace_2.0-3 BiocManager_1.30.19
[76] vsn_3.66.0