我有一个尝试使用 rmarkdown 生成 HTML 文件的简单问题。我想包括一个表格，其中有一列包含一长串基因。我要做的就是设置每列的列宽，两列都需要换行。
我已经使用了，pander并且在 R 中调用它似乎可以正常工作，但是当我创建 HTML 时，表中只包含第一行。
pander(df, split.cells = c(30,70), split.table = Inf)
下面是 HTML 输出，有什么想法吗？
dput(df)
structure(c("Cell Cycle, Mitotic", "Cell Cycle", "Adaptive Immune System",
"Mitotic G1-G1/S phases", "Cytokine Signaling in Immune system",
"G1/S Transition", "DNA Replication", "G2/M Checkpoints", "Activation of ATR in response to replication stress",
"S Phase", "CDKN2A, SKP2, CCNE1, NCAPD2, LPIN1, MCM10, TFDP1, NUP155, MCM3, E2F3, OPTN, RFC4, NUP160, CENPN, TFDP2, CCNA1, NUP153, PSMB10, PRKCA, CKAP5, KIF2C, PSME4, GINS4, FOXM1, SEC13, RB1, MCM4, MCM5, CCNA2, PSMB9, RFC3, NCAPG2, CDC7, MCM7, NUP205, CENPA, PRKCB, BIRC5, SMC2, BUB1, CDCA8, PRIM2, NDC80, CDKN2C, PLK1, PPP1CB, CETN2, CEP57, NUP50, PSME1, CCNE2, PSMB8, NCAPH2, VRK1, CDC20, PCM1, MCM2, E2F5, TUBA4A, PSMB2, CDT1, SMC4, ORC1, CUL1, AURKB, PSMD2, CDC25B, KIF18A, UBE2D1, RFC2, TUBG2, SMC1A, PSMB4, NCAPD3, BTRC, CDK6, DNA2, NUP93, POLD1, SPDL1, RBL1, CENPI, PCNA, MCM6, NUP62, POLE2, SKA1, CLASP2, ARPP19, CKS1B, AKAP9, PSMC2, WAPL, BORA, DBF4, CENPF, PLK4, NEK2, SKP1, ORC6, NUMA1, PAFAH1B1, TYMS, KIF23, ZWILCH, FBXO5, FEN1, PSMF1, RRM2",
"CDKN2A, SFN, SKP2, CCNE1, NCAPD2, LPIN1, MCM10, TFDP1, NUP155, CHEK1, MCM3, E2F3, OPTN, RFC4, NUP160, CENPN, TFDP2, CCNA1, STAG3, NUP153, PSMB10, PRKCA, CKAP5, KIF2C, PSME4, GINS4, FOXM1, SEC13, RB1, MCM4, MCM5, CCNA2, PSMB9, RFC3, NCAPG2, CDC7, MCM7, NUP205, CENPA, HSPA2, PRKCB, BIRC5, SMC2, BUB1, CDCA8, PRIM2, NDC80, CDKN2C, PLK1, PPP1CB, CETN2, CEP57, NUP50, PSME1, CCNE2, PSMB8, MLH1, NCAPH2, VRK1, CDC20, PCM1, MCM2, E2F5, TUBA4A, MRE11A, PSMB2, CDT1, SMC4, ORC1, CUL1, AURKB, PSMD2, CHEK2, CDC25B, KIF18A, UBE2D1, RFC2, TUBG2, SMC1A, HJURP, PSMB4, NCAPD3, HUS1, BTRC, BLM, YWHAB, CDK6, DNA2, NUP93, POLD1, SPDL1, RBL1, CENPI, YWHAQ, PCNA, MCM6, RAD1, NUP62, BRCA2, POLE2, SKA1, CLASP2, ARPP19, CKS1B, AKAP9, PSMC2, WAPL, SUN2, BORA, DBF4, CENPF, PLK4, NEK2, SKP1, ORC6, NUMA1, PAFAH1B1, TYMS, KIF23, ZWILCH, FBXO5, FEN1, MIS18A, PSMF1, RRM2",
"CTSV, HLA-DOB, PLCG2, NCK1, DYNC1I1, ERBB4, TAP1, LYN, TAP2, ICAM1, RAC1, CYBB, ICOS, CD19, NFKBIE, PSMB10, SOS1, YES1, SELL, KIF2C, AGO1, ITPR1, ITK, PSME4, CD247, SEC13, INPP5D, CD79A, PIK3CD, RIPK2, HLA-F, PSMB9, CD8B, CD96, CTSS, LCK, NCF4, FYB, RASGRP2, PRKCB, ZAP70, PTPRC, TRAT1, LILRB2, PVR, ITPR3, CD8A, CD40, PRKCQ, CD3D, RASGRP3, LCP2, KLRD1, ITGB5, CRTAM, MALT1, CD79B, PSME1, BTK, PSMB8, VAV1, PDGFRA, PSMB2, PAK3, NRAS, CUL1, HLA-DMB, AP1M2, PSMD2, KIF18A, SYK, VCAM1, CD28, NCF2, CD86, CD3E, CD3G, EGFR, FGFR3, PSMB4, LILRB1, BTRC, YWHAB, CD4, KIF3C, PAK2, SEC24B, IKBKB, NPEPPS, RAPGEF3, ICAM2, ICOSLG, ITGB7, DCTN4, PSMC2, KIF3A, RAPGEF4, CSK, CTLA4, FYN, SKP1, ERBB3, KIF23, NFKBIB, ITGB2, FCGR1B, PSMF1",
"CDKN2A, SKP2, CCNE1, MCM10, TFDP1, MCM3, E2F3, TFDP2, CCNA1, PSMB10, RB1, MCM4, MCM5, PSMB9, CDC7, MCM7, PRIM2, CDKN2C, PSME1, CCNE2, PSMB8, MCM2, E2F5, PSMB2, CDT1, ORC1, CUL1, PSMD2, PSMB4, CDK6, RBL1, PCNA, MCM6, POLE2, CKS1B, PSMC2, DBF4, SKP1, ORC6, TYMS, FBXO5, PSMF1, RRM2",
"IRAK1, IL1R2, IL6ST, NUP155, IFNG, IRF1, CSF2RB, LYN, ICAM1, IRF8, MAP2K4, NUP160, ADAM17, SOCS2, IRF4, SOCS1, NUP153, SOS1, IL2RG, PTPN2, INPP5D, PIK3CD, IL1RAP, RIPK2, GBP1, HLA-F, TRIM38, PML, NUP205, IFNGR1, CIITA, MYD88, HERC5, MID1, ISG20, IFNAR2, IL7, NUP50, PSMB8, CASP1, CSF2RA, VAV1, CAMK2B, GBP2, KPNA4, NRAS, STAT1, CUL1, SYK, PRLR, IL2RB, VCAM1, IL7R, USP18, CISH, MX2, IL2RA, IL6R, BTRC, YWHAB, LGALS9, NUP93, PTAFR, KPNA3, MAPK1, IKBKB, RSAD2, NUP62, OASL, EIF4E2, SAMHD1, TRIM8, KPNA5, FYN, SKP1, FCGR1B",
"SKP2, CCNE1, MCM10, TFDP1, MCM3, CCNA1, PSMB10, RB1, MCM4, MCM5, PSMB9, CDC7, MCM7, PRIM2, PSME1, CCNE2, PSMB8, MCM2, PSMB2, CDT1, ORC1, CUL1, PSMD2, PSMB4, PCNA, MCM6, POLE2, CKS1B, PSMC2, DBF4, SKP1, ORC6, TYMS, FBXO5, PSMF1, RRM2",
"MCM10, MCM3, RFC4, PSMB10, PSME4, GINS4, RB1, MCM4, MCM5, PSMB9, RFC3, CDC7, MCM7, PRIM2, PSME1, PSMB8, MCM2, PSMB2, CDT1, ORC1, PSMD2, RFC2, PSMB4, DNA2, POLD1, PCNA, MCM6, POLE2, PSMC2, DBF4, ORC6, FEN1, PSMF1",
"SFN, MCM10, CHEK1, MCM3, RFC4, MCM4, MCM5, RFC3, CDC7, MCM7, MCM2, ORC1, CHEK2, RFC2, HUS1, YWHAB, YWHAQ, MCM6, RAD1, DBF4, ORC6",
"MCM10, CHEK1, MCM3, RFC4, MCM4, MCM5, RFC3, CDC7, MCM7, MCM2, ORC1, RFC2, HUS1, MCM6, RAD1, DBF4, ORC6",
"SKP2, MCM3, RFC4, PSMB10, PSME4, GINS4, RB1, MCM4, MCM5, PSMB9, RFC3, MCM7, PRIM2, PSME1, PSMB8, MCM2, PSMB2, CDT1, ORC1, CUL1, PSMD2, RFC2, SMC1A, PSMB4, DNA2, POLD1, PCNA, MCM6, POLE2, CKS1B, PSMC2, WAPL, SKP1, ORC6, FEN1, PSMF1"
), .Dim = c(10L, 2L), .Dimnames = list(c("1", "2", "3", "4",
"5", "6", "7", "8", "9", "10"), c("Pathway", "GeneID")))
显示拆分工作的 R 控制台视图。
