I want run deseq2 from tximport data. for sample dataset I can able to create deseq2 matrix file but for own data getting error i have kept same row(15) and column(15) name in condition and count data still getting error i have seen many already available question mentioned to update the versions after updating the version getting same error

please help

Thank you

library(DESeq2)
library(tximport)

dir <- "counting"
samples = read.table('Sample.txt', sep="\t", header = T, row.names = 1)
tx2gene = read.table('Transcript_gene_id.txt', sep = '\t', header = T)

files <- file.path(dir, "", samples$Path, "quant.sf")
names(files) <- row.names(samples)
all(file.exists(files))
txi = tximport(files = files, type = 'salmon', tx2gene = tx2gene)

rownames(samples ) <- colnames(txi$counts)

all(colnames(txi$counts) %in% rownames(samples))
all(colnames(txi$counts) == rownames(samples))

dds <- DESeqDataSetFromMatrix(txi, samples, ~Type1)


Error in validObject(.Object) :
  invalid class SummarizedExperiment object: 
    nb of cols in assay(1) must equal nb of rows in colData(15)

sessionInfo( )

R version 4.2.0 (2022-04-22)
Platform: x86_64-conda-linux-gnu (64-bit)
Running under: Ubuntu 22.04.4 LTS

Matrix products: default
BLAS/LAPACK: /media/anaconda3/lib/libopenblasp-r0.3.21.so

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

attached base packages:
[1] stats4    stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
 [1] tximport_1.26.1             DESeq2_1.38.3               SummarizedExperiment_1.28.0 Biobase_2.58.0             
 [5] MatrixGenerics_1.10.0       matrixStats_1.2.0           GenomicRanges_1.50.2        GenomeInfoDb_1.34.9        
 [9] IRanges_2.32.0              S4Vectors_0.36.2            BiocGenerics_0.44.0        

loaded via a namespace (and not attached):
 [1] KEGGREST_1.38.0        locfit_1.5-9.9         tidyselect_1.2.1       lattice_0.22-5         generics_0.1.3        
 [6] colorspace_2.1-0       vctrs_0.6.5            utf8_1.2.4             blob_1.2.4             XML_3.99-0.14         
[11] rlang_1.1.3            pillar_1.9.0           glue_1.7.0             DBI_1.2.2              BiocParallel_1.32.6   
[16] bit64_4.0.5            RColorBrewer_1.1-3     GenomeInfoDbData_1.2.9 lifecycle_1.0.4        zlibbioc_1.44.0       
[21] Biostrings_2.66.0      munsell_0.5.0          gtable_0.3.4           codetools_0.2-19       memoise_2.0.1         
[26] geneplotter_1.76.0     fastmap_1.1.1          parallel_4.2.0         fansi_1.0.6            AnnotationDbi_1.60.2  
[31] Rcpp_1.0.12            xtable_1.8-4           scales_1.3.0           BiocManager_1.30.22    cachem_1.0.8          
[36] DelayedArray_0.24.0    jsonlite_1.8.8         annotate_1.76.0        XVector_0.38.0         bit_4.0.5             
[41] ggplot2_3.5.0          png_0.1-8              dplyr_1.1.4            grid_4.2.0             cli_3.6.2             
[46] tools_4.2.0            bitops_1.0-7           magrittr_2.0.3         RCurl_1.98-1.14        RSQLite_2.3.5         
[51] tibble_3.2.1           pkgconfig_2.0.3        crayon_1.5.2           Matrix_1.6-5           httr_1.4.7            
[56] rstudioapi_0.15.0      R6_2.5.1               compiler_4.2.0

You're using the wrong function to read tximport data. Read the manual please: https://bioconductor.org/packages/release/bioc/vignettes/DESeq2/inst/doc/DESeq2.html#transcript-abundance-files-and-tximport-tximeta