Hi,

I am trying to read a DBA object from a Samplesheet but DiffBind throws me an error despite having the file paths correctly set.

library(DiffBind)
setwd("C:/Users/alexa/Documents/HKU/diffbind_data/")

samples <- read.csv(file = "diffbind_design.csv")
samples <- dba(sampleSheet = samples)

all files are under this directory C:/Users/alexa/Documents/HKU/diffbind_data/

csv file looks like that:

 sessionInfo()
R version 4.1.0 (2021-05-18)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 19042)

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  stats4    stats     graphics  grDevices utils     datasets 
[8] methods   base     

other attached packages:
 [1] DiffBind_3.2.2              SummarizedExperiment_1.22.0
 [3] Biobase_2.52.0              MatrixGenerics_1.4.0       
 [5] matrixStats_0.59.0          GenomicRanges_1.44.0       
 [7] GenomeInfoDb_1.28.0         IRanges_2.26.0             
 [9] S4Vectors_0.30.0            BiocGenerics_0.38.0        

loaded via a namespace (and not attached):
  [1] backports_1.2.1          GOstats_2.58.0          
  [3] BiocFileCache_2.0.0      plyr_1.8.6              
  [5] GSEABase_1.54.0          splines_4.1.0           
  [7] BiocParallel_1.26.0      ggplot2_3.3.4           
  [9] amap_0.8-18              digest_0.6.27           
 [11] invgamma_1.1             GO.db_3.13.0            
 [13] SQUAREM_2021.1           fansi_0.5.0             
 [15] magrittr_2.0.1           checkmate_2.0.0         
 [17] memoise_2.0.0            BSgenome_1.60.0         
 [19] base64url_1.4            limma_3.48.0            
 [21] Biostrings_2.60.1        annotate_1.70.0         
 [23] systemPipeR_1.26.2       bdsmatrix_1.3-4         
 [25] prettyunits_1.1.1        jpeg_0.1-8.1            
 [27] colorspace_2.0-1         blob_1.2.1              
 [29] rappdirs_0.3.3           apeglm_1.14.0           
 [31] ggrepel_0.9.1            dplyr_1.0.6             
 [33] crayon_1.4.1             RCurl_1.98-1.3          
 [35] jsonlite_1.7.2           graph_1.70.0            
 [37] genefilter_1.74.0        brew_1.0-6              
 [39] survival_3.2-11          VariantAnnotation_1.38.0
 [41] glue_1.4.2               gtable_0.3.0            
 [43] zlibbioc_1.38.0          XVector_0.32.0          
 [45] DelayedArray_0.18.0      V8_3.4.2                
 [47] Rgraphviz_2.36.0         scales_1.1.1            
 [49] pheatmap_1.0.12          mvtnorm_1.1-2           
 [51] DBI_1.1.1                edgeR_3.34.0            
 [53] Rcpp_1.0.6               xtable_1.8-4            
 [55] progress_1.2.2           emdbook_1.3.12          
 [57] bit_4.0.4                rsvg_2.1.2              
 [59] AnnotationForge_1.34.0   truncnorm_1.0-8         
 [61] httr_1.4.2               gplots_3.1.1            
 [63] RColorBrewer_1.1-2       ellipsis_0.3.2          
 [65] pkgconfig_2.0.3          XML_3.99-0.6            
 [67] dbplyr_2.1.1             locfit_1.5-9.4          
 [69] utf8_1.2.1               tidyselect_1.1.1        
 [71] rlang_0.4.11             AnnotationDbi_1.54.1    
 [73] munsell_0.5.0            tools_4.1.0             
 [75] cachem_1.0.5             generics_0.1.0          
 [77] RSQLite_2.2.7            stringr_1.4.0           
 [79] fastmap_1.1.0            yaml_2.2.1              
 [81] bit64_4.0.5              caTools_1.18.2          
 [83] purrr_0.3.4              KEGGREST_1.32.0         
 [85] RBGL_1.68.0              xml2_1.3.2              
 [87] biomaRt_2.48.1           compiler_4.1.0          
 [89] rstudioapi_0.13          filelock_1.0.2          
 [91] curl_4.3.1               png_0.1-7               
 [93] tibble_3.1.2             stringi_1.6.1           
 [95] GenomicFeatures_1.44.0   lattice_0.20-44         
 [97] Matrix_1.3-3             vctrs_0.3.8             
 [99] pillar_1.6.1             lifecycle_1.0.0         
[101] irlba_2.3.3              data.table_1.14.0       
[103] bitops_1.0-7             rtracklayer_1.52.0      
[105] R6_2.5.0                 BiocIO_1.2.0            
[107] latticeExtra_0.6-29      hwriter_1.3.2           
[109] ShortRead_1.50.0         KernSmooth_2.23-20      
[111] MASS_7.3-54              gtools_3.9.2            
[113] assertthat_0.2.1         Category_2.58.0         
[115] rjson_0.2.20             withr_2.4.2             
[117] GenomicAlignments_1.28.0 batchtools_0.9.15       
[119] Rsamtools_2.8.0          GenomeInfoDbData_1.2.6  
[121] hms_1.1.0                grid_4.1.0              
[123] DOT_0.1                  coda_0.19-4             
[125] GreyListChIP_1.24.0      ashr_2.2-47             
[127] mixsqp_0.3-43            bbmle_1.0.23.1          
[129] numDeriv_2016.8-1.1      restfulr_0.0.13

This is likely caused by your Peak files actually having an extension that is hidden by Windows. So instead of using sample1 in the Peaks column, use sample1.bed etc.