我试图创建我的第一个闪亮的应用程序,但我仍然坚持以下:
以下是我如何组合测试矩阵系数的示例:
output$mod <- renderTable({
if(is.null(data())){return ()}
file1 <- input$file
tbl <- read.csv(file = file1$datapath, header = input$header, stringsAsFactors = input$stringAsFactors)
wave <- modwt(tbl)
cbind(wave@W$W1, wave@W$W2, wave@W$W3)
})
在这种情况下,我有3个系数组合(wave @ W $ W1,wave @ W $ W2,wave @ W $ W3),但它没有前缀。每个系数表与导入的矩阵具有相同的行数和列数。
如何cbind i 表并将该表的列命名为&#34; W1Var1&#34;,&#34; W1Var2&#34;,...,&#34; W(I)VAR(I)&#34;
提前谢谢
答案 0 :(得分:1)
我尝试了一下我从一些旧项目中保留的鲍鱼数据 -
data <- read.csv("abalone.csv",stringsAsFactors = F)
data <- data[,sapply(data,is.numeric)]
data <- data[,1:3]
head(data)
# Length Diameter Height
# 1 0.455 0.365 0.095
# 2 0.350 0.265 0.090
# 3 0.530 0.420 0.135
# 4 0.440 0.365 0.125
# 5 0.330 0.255 0.080
# 6 0.425 0.300 0.095
wave <- wavelets::modwt(data)
name_list <- expand.grid(W=names(wave@W),N=names(data))
name_list <- name_list[order(name_list$W),]
name_list <- unlist(apply(name_list,1,paste0,collapse=""))
output <- data.frame(do.call(cbind,wave@W))
names(output) <- name_list
head(output)
# W1Length W1Diameter W1Height W2Length W2Diameter W2Height
#1 0.0007141775 -0.015057604 -0.02741532 0.026445608 0.021973215 0.003796411
#2 -0.0178623259 -0.003055652 0.03147525 0.027294618 0.024811542 0.006805190
#3 -0.0042752443 -0.007179318 -0.02473044 0.003903755 0.000864748 0.007034940
#4 0.0969934351 0.074977230 0.03870881 -0.008999976 -0.011581076 0.003073201
#5 -0.0716497977 -0.048780057 -0.03227399 -0.006560299 -0.004023690 -0.004659585
#6 -0.0724520611 -0.068430864 -0.01265374 -0.009740781 -0.001975610 -0.006545703
# W3Length W3Diameter W3Height W4Length W4Diameter W4Height
#1 -0.08200325 -0.06957770 -0.022362161 -0.038224750 -0.032841068 -0.0163395399
#2 -0.01915867 -0.01572532 -0.004885967 -0.025496629 -0.024064880 -0.0127296303
#3 0.01767815 0.01757878 0.005162413 -0.009600510 -0.012067035 -0.0078526760
#4 0.03341336 0.03186063 0.009724175 0.006501488 0.000536822 -0.0028651762
#5 0.04755021 0.04179055 0.012794711 0.015687389 0.007644734 0.0002224431
#6 0.05795348 0.05000976 0.017513040 0.018876198 0.010426718 0.0014205476
# W5Length W5Diameter W5Height W6Length W6Diameter W6Height
#1 -0.07793182 -0.06638936 -0.02478733 -0.02199261 -0.01463714 -0.006825037
#2 -0.07783037 -0.06564205 -0.02440148 -0.02237454 -0.01516823 -0.006834632
#3 -0.07644738 -0.06354849 -0.02359830 -0.02247092 -0.01553270 -0.006772609
#4 -0.07385479 -0.06036354 -0.02243425 -0.02251433 -0.01591498 -0.006711645
#5 -0.06963612 -0.05580444 -0.02080034 -0.02253258 -0.01630504 -0.006589568
#6 -0.06407673 -0.05022518 -0.01878663 -0.02245154 -0.01659428 -0.006373257
# W7Length W7Diameter W7Height W8Length W8Diameter W8Height
#1 -0.01212583 -0.01158442 -0.001322562 0.003770865 0.004843111 0.004493407
#2 -0.01239135 -0.01177415 -0.001616514 0.003355641 0.004424366 0.004360637
#3 -0.01262050 -0.01192868 -0.001900928 0.002925821 0.003993220 0.004221592
#4 -0.01281899 -0.01205563 -0.002175976 0.002485530 0.003552588 0.004079251
#5 -0.01300265 -0.01216254 -0.002452028 0.002037058 0.003105960 0.003936552
#6 -0.01319736 -0.01227838 -0.002733520 0.001579256 0.002651809 0.003790449
# W9Length W9Diameter W9Height
#1 -0.01668559 -0.01202336 -0.002490659
#2 -0.01669854 -0.01206783 -0.002526503
#3 -0.01670896 -0.01210992 -0.002562135
#4 -0.01671698 -0.01214994 -0.002597408
#5 -0.01672173 -0.01218722 -0.002631925
#6 -0.01672423 -0.01222268 -0.002666136