[R] Looking for a package to replace xtable

[David L Carlson]

You can rename the columns with colnames() before passing it to xtable. This will let you use characters that data.frame would automatically convert. 

I don't see an easy way to center the columns when printing an html file. If you are not making too many of these, you could open the .html file into a WYSIWIG html editor such as BlueGriffon, make the changes and save the file. If you have Microsoft Excel and Word, another fallback solution is to read the .html file into Excel where you have a wide variety of styles.

David C

-----Original Message-----
From: BR_email [mailto:br at dmstat1.com] 
Sent: Thursday, April 20, 2017 4:31 PM
To: David L Carlson <dcarlson at tamu.edu>; r-help at r-project.org
Subject: Re: [R] Looking for a package to replace xtable

David:
All is perfect, almost - after I ran your corrections.
Is there a way I can have more control of the column names, i.e.,
not be restricted to abbreviations headings, and center-justify?

Thanks a lot, nice.
Bruce

  

David L Carlson wrote:
> #1 You can remove the rownames by adding the argument include.rownames=FALSE to print.xtable():
>
> print.xtable(DECILE_TABLE, type="html",file="DecileTable.html", include.rownames=FALSE)
>
> #2 Prevent data.frame from converting the first column to a factor and use NAs for the columns where you don't want totals:
>
> dec_mean_wt_R_nRDL <- cbind(DECILE, dec_mean_wt_R_nRD, Cum_Lift, stringsAsFactors=FALSE)
> dec_mean_wt_R_nRDL <- dec_mean_wt_R_nRDL[,c(1,3,4,9,8,10)]
>
> total_line<-cbind(DECILE="Total",
>    as.data.frame(matrix(c(colSums(dec_mean_wt_R_nRDL[ , 2:3]), rep(NA, 3)),nrow=1)))
>
> Now the table should print without totals in the last three columns and no rownames.
>
> attach is discouraged since it can lead to confusion when a variable name exists in the environment and in a data frame (or multiple data frames). It is easy to forget which version of the variable you are using. More typing, but less subject to confusion would be to use with(), eg:
>
> Cum_RespRate          <- with(dec_mean_wt_R_nR, (Cum_R/Cum_n)*100)
>
> This way it is always clear where Cum_R and Cum_n are coming from. In your code cum_R = Cum_R and cum_n = Cum_n so you could also use
>
> Cum_RespRate          <- cum_R/cum_n)*100
>
> -------------------------------------
> David L Carlson
> Department of Anthropology
> Texas A&M University
> College Station, TX 77840-4352
>
> -----Original Message-----
> From: R-help [mailto:r-help-bounces at r-project.org] On Behalf Of BR_email
> Sent: Thursday, April 20, 2017 12:10 PM
> To: r-help at r-project.org
> Subject: [R] Looking for a package to replace xtable
>
> R-helper:
> Below, code for generating a decile table.
> I am using the xtable package, but it is not quite right for the output.
> Issue #1. xtable inserts an unwanted column, before the first derived
> column DECILE
> Issue #2. In the last line "Total" I manually sum all columns, even
> though I only want the sums for second and third columns.
> If I calculate only second and third columns, the remaining columns
> would have NAs.
> Either scenario is not desired.
>
> Any suggestions, would be appreciated, for a package that addresses
> issue #1,
> and has an option for summing the desired two columns.
>
> Lastly, I read that one should rarely use "attach()", but if I don't the
> program will not run.
> An explanation of why I need attach() would also be appreciated.
> Thanks.
> Bruce
>
>    ****
> Response <- data.frame(Response=rbinom(50,1,0.2), yhat=runif(50))
> Response <- Response[order(Response$yhat,decreasing=TRUE),]
>
> Response[[2]] <- NULL
>
> cum_R    <- cumsum(Response)
> sam_size <- nrow(Response)
>
> cum_n    <- seq(1:1,sam_size)
> wt       <- rep(c(1), times=sam_size)
> cum_wt   <- cumsum(wt)
>
> dec      <- (cum_n/sam_size)
> decc     <- floor((cum_n*10)/(sam_size+1))
>
> dec_mean <- aggregate(Response, by=list(decc), mean)
>
> dd_        <- data.frame(cum_R, sam_size, cum_wt, cum_n, decc)
> dd  <- cbind(Response, dd_)
> names(dd)[2] <- "cum_R"
>
> dec_mean    <- aggregate(Response ~ decc, dd, mean)
>
> wt         <- rep(c(1), times=sam_size)
> cum_wt     <- aggregate(wt        ~ decc, dd, sum)
> cum_R      <- aggregate(Response  ~ decc, dd, sum)
>
> dec_mean_wt    <- cbind(dec_mean, cum_wt)
> dec_mean_wt    <- dec_mean_wt[-3]
>
> dec_mean_wt_R  <- cbind(dec_mean_wt, cum_R)
> dec_mean_wt_R  <- dec_mean_wt_R[-4]
>
> colnames(dec_mean_wt_R) <- c("Decile", "Resp_Rate", "No_Inds",
>       "No_Resp")
>
> dec_mean_wt_R  <- dec_mean_wt_R[,c(1,3,4,2)]
>
> cum_n        <- dec_mean_wt_R[2]
> cum_n        <- cumsum(cum_n)
>
> cum_R        <- dec_mean_wt_R[3]
> cum_R        <- cumsum(cum_R)
>
> dec_mean_wt_R_nR  <- cbind(dec_mean_wt_R, cum_n, cum_R)
>
> colnames(dec_mean_wt_R_nR) <-
>       c("Decile", "No_Inds", "No_Resp", "RespRate",
>                   "Cum_n", "Cum_R")
>
> dec_mean_wt_R_nR
>
> attach(dec_mean_wt_R_nR)
> Cum_RespRate          <- (Cum_R/Cum_n)*100
>
> options(digits=4)
> Decile_RespRate          <- (No_Resp/No_Inds)
>
> dec_mean_wt_R_nRD  <- cbind(dec_mean_wt_R_nR, Cum_RespRate, Decile_RespRate)
>
> avg_RR             <- dec_mean_wt_R_nRD[10,7]
> Cum_Lift           <- (Cum_RespRate/avg_RR)*100
>
> DECILE             <- c("top","2","3","4","5","6","7","8","9","bot")
> dec_mean_wt_R_nRDL <- cbind(DECILE, dec_mean_wt_R_nRD, Cum_Lift)
> dec_mean_wt_R_nRDL <- dec_mean_wt_R_nRDL[,c(1,3,4,9,8,10)]
>
> total_line<-cbind(DECILE="Total",
>    as.data.frame(matrix(colSums(dec_mean_wt_R_nRDL[-1]),nrow=1)))
>
> names(total_line)<-names(dec_mean_wt_R_nRDL)
> dec_mean_wt_R_nRDLT<-rbind(dec_mean_wt_R_nRDL,total_line)
> decile_table <- dec_mean_wt_R_nRDLT
> decile_table
>
> #Install the xtable package: install.packages("xtable")
> #Load the xtable package:
> library(xtable)
>
> DECILE_TABLE <-xtable(decile_table)
> DECILE_TABLE
>
> print.xtable(DECILE_TABLE, type="html",file="C:/R_Data/DecileTable.html")
>
> ****
>
> --
>
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