After I run the enrichPathway() on my genelist, I tried to visualize it using barplot(), but it is only showing one enrichment pathway. In my S4 results, I have definitely more than 1. I was wondering if anyone can help?

My input data looks like this

 head(genelist,50)

[1] 14013 76589 69513 11668 245578 13386 665700 13850 12511
NA NA 109620 [13] 20324 57349 14165 18591 NA 319189 434215 245404 381122 12346 242050 19074 [25] 74088 71685 72027 330355
NA 216350 13070 77453 72388 75766 634104 NA [37] 19124 68895 22431 21859 231238 211612 109648 NA 74603 71884 57440 19824 [49] NA 17912

Parameters I used for enrichPathway():

down_204_pathway_enr <- enrichPathway(genelist, organism = "mouse", pvalueCutoff = 0.05)

It ran. However, when I view the dataframe, it only shows me one dataframe

head(as.data.frame(down_204_pathway_enr))

ID Description GeneRatio BgRatio R-MMU-9007101 R-MMU-9007101 Rab regulation of trafficking 21/588 106/8755 pvalue p.adjust qvalue R-MMU-9007101 5.863062e-06 0.00453801 0.004412726 geneID R-MMU-9007101 72433/320560/105841/207592/108995/71648/235633/74030/209773/270160/66687/70785/381605/216363/22241/11891/329260/233204/19325/242406/66691 Count R-MMU-9007101 21

When I run visualization barplot(down_204_pathway_enr, showCategory=8) It only shows me one pathway.

My Sessioninfo looks like this

R version 3.6.0 (2019-04-26) Platform: x86_64-apple-darwin15.6.0 (64-bit) Running under: macOS Mojave 10.14.3

Matrix products: default BLAS:
/System/Library/Frameworks/Accelerate.framework/Versions/A/Frameworks/vecLib.framework/Versions/A/libBLAS.dylib LAPACK: /Library/Frameworks/R.framework/Versions/3.6/Resources/lib/libRlapack.dylib

Random number generation: RNG: Mersenne-Twister Normal: Inversion Sample: Rounding locale: [1] enCA.UTF-8/enCA.UTF-8/enCA.UTF-8/C/enCA.UTF-8/en_CA.UTF-8

attached base packages: [1] parallel stats4 stats graphics grDevices utils datasets methods [9] base

other attached packages: [1] graphite1.30.0 org.Mm.eg.db3.8.2
AnnotationDbi1.46.0 IRanges2.18.0 [5] S4Vectors0.22.0
Biobase2.44.0 BiocGenerics0.30.0 biomaRt2.40.0 [9] ReactomePA_1.28.0

loaded via a namespace (and not attached): [1] bitops1.0-6
enrichplot1.4.0 bit640.9-7 RColorBrewer1.1-2 [5] progress1.2.2 httr1.4.0 UpSetR1.4.0
tools3.6.0 [9] backports1.1.4 R62.4.0
DBI1.0.0 lazyeval0.2.2 [13] colorspace1.4-1
tidyselect0.2.5 gridExtra2.3 prettyunits1.0.2 [17] curl3.3 bit1.1-14 compiler3.6.0
graph1.62.0 [21] xml21.2.0.9000 labeling0.3
triebeard0.3.0 scales1.0.0 [25] checkmate1.9.3
ggridges0.5.1 rappdirs0.3.1 stringr1.4.0 [29] digest0.6.19 DOSE3.10.1 pkgconfig2.0.2
rlang0.3.4 [33] rstudioapi0.10 RSQLite2.1.1
gridGraphics0.4-1 farver1.1.0 [37] jsonlite1.6
BiocParallel1.18.0 GOSemSim2.10.0 dplyr0.8.1 [41] RCurl1.95-4.12 magrittr1.5 ggplotify0.0.3
GO.db3.8.2 [45] Matrix1.2-17 Rcpp1.0.1
munsell0.5.0 viridis0.5.1 [49] stringi1.4.3
ggraph1.0.2 MASS7.3-51.4 plyr1.8.4 [53] qvalue2.16.0 grid3.6.0 blob1.1.1
ggrepel0.8.1 [57] DO.db2.9 crayon1.3.4
lattice0.20-38 cowplot0.9.4 [61] splines3.6.0
hms0.4.2 pillar1.4.1 fgsea1.10.0 [65] igraph1.2.4.1 reshape21.4.3 fastmatch1.1-0
XML3.98-1.19 [69] glue1.3.1 data.table1.12.2
BiocManager1.30.4 tweenr1.0.1 [73] urltools1.7.3
gtable0.3.0 purrr0.3.2 polyclip1.10-0 [77] assertthat0.2.1 ggplot23.1.1 ggforce0.2.2
europepmc0.3 [81] reactome.db1.68.0 viridisLite0.3.0
tibble2.1.2 rvcheck0.1.3 [85] memoise_1.1.0

Can someone please help me out and point out what is wrong?