Have you looked at library(sos)? It includes the following that might
help you find what you want:
* "findFn" function that searches help pages for matches to your
search term, then sorts the results by package. The print method
displays the results in a web browser.
* "packageSum" to summarize the results by package.
* "writeFinFn2xls" to write an Excel file with sheets for package
summary and individual help pages found.
* "installPackages" to automatically install the packages found
most relevant, so "packageSum" and "writeFindFn2xls" can provide more
information.
* a vignette, also available at
"https://journal.r-project.org/archive/2009/RJ-2009-017/RJ-2009-017.pdf";.
hope this helps
Spencer Graves
On 2017-04-22 6:47 AM, BR_email wrote:
David:
This is my last query on this issue.
I thank you, again, for your patience,
without perhaps your not understanding what drives (bugs) me.
Is there a more efficient way of writing the code, below,
which is replicating the original dataset Response 5 times?
Response5x <- rbind(Response, Response, Response, Response, Response)
Regards,
Bruce
BR_email wrote:
David:
Its' not going my way today.
I'll try to work with all that you provided.
It's late Friday and I cannot impose on you much more.
Thank you.
If I may, after I rework it, I'll contact you, okay?
Have great weekend. And thanks, again.
Bruce
FYI: Below are where the error messages start:
R> Decile_RespRate <- (No_Resp/No_Inds) Error: object 'No_Resp' not
found R> R> dec_mean_wt_R_nRD <- cbind(dec_mean_wt_R_nR,
Cum_RespRate, Decile_RespRate) Error in cbind(dec_mean_wt_R_nR,
Cum_RespRate, Decile_RespRate) : object 'Decile_RespRate' not found
R> R> R> R> avg_RR <- dec_mean_wt_R_nRD[10,7] Error: object
'dec_mean_wt_R_nRD' not found R> Cum_Lift <-
(Cum_RespRate/avg_RR)*100 Error: object 'avg_RR' not found R> R>
DECILE <- c("top","2","3","4","5","6","7","8","9","bot") R> R>
dec_mean_wt_R_nRDL <- cbind(DECILE, dec_mean_wt_R_nRD, Cum_Lift,
stringsAsFactors=FALSE) Error in cbind(DECILE, dec_mean_wt_R_nRD,
Cum_Lift, stringsAsFactors = FALSE) : object 'dec_mean_wt_R_nRD' not
found R> dec_mean_wt_R_nRDL <- dec_mean_wt_R_nRDL[,c(1,3,4,9,8,10)]
Error: object 'dec_mean_wt_R_nRDL' not found R> R> R>
total_line<-cbind(DECILE="Total", +
as.data.frame(matrix(c(colSums(dec_mean_wt_R_nRDL[ , 2:3]), rep(NA,
3)),nrow=1))) Error in is.data.frame(x) : object 'dec_mean_wt_R_nRDL'
not found R> R> names(total_line)<-names(dec_mean_wt_R_nRDL) Error:
object 'dec_mean_wt_R_nRDL' not found R>
dec_mean_wt_R_nRDLT<-rbind(dec_mean_wt_R_nRDL,total_line) Error in
rbind(dec_mean_wt_R_nRDL, total_line) : object 'dec_mean_wt_R_nRDL'
not found R> decile_table <- dec_mean_wt_R_nRDLT Error: object
'dec_mean_wt_R_nRDLT' not found R> decile_table Error: object
'decile_table' not found R> R> #Install the xtable package:
install.packages("xtable") R> #Load the xtable package: R>
library(xtable) R> R> DECILE_TABLE <-xtable(decile_table) Error in
xtable(decile_table) : object 'decile_table' not found R>
DECILE_TABLE Error: object 'DECILE_TABLE' not found R> R> R>
print.xtable(DECILE_TABLE,
type="html",file="C:/R_Data/DecileTable.html",
include.rownames=FALSE) Error in print.xtable(DECILE_TABLE, type =
"html", file = "C:/R_Data/DecileTable.html", : object 'DECILE_TABLE'
not found
R>
Bruce Ratner, Ph.D.
The Significant Statistician™
(516) 791-3544
Statistical Predictive Analtyics -- www.DMSTAT1.com
Machine-Learning Data Mining and Modeling -- www.GenIQ.net
David L Carlson wrote:
I've attached a modification of your script file (called .txt so it
doesn't get stripped). See if this does what you want.
David C
-----Original Message-----
From: Bruce Ratner PhD [mailto:b...@dmstat1.com]
Sent: Friday, April 21, 2017 3:46 PM
To: David L Carlson <dcarl...@tamu.edu>
Cc: r-help@r-project.org
Subject: Re: [R] Looking for a package to replace xtable
David:
Correction: I do need a data frame because from the order Response
column I create a data frame as per all my calculated columns,
yielding the five column decile table.
I used your latest corrections but something buggy is a happenin'.
Bruce
______________
Bruce Ratner PhD
The Significant Statistician™
(516) 791-3544
Statistical Predictive Analytics -- www.DMSTAT1.com
Machine-Learning Data Mining -- www.GenIQ.net
On Apr 21, 2017, at 4:25 PM, Bruce Ratner PhD <b...@dmstat1.com> wrote:
David:
Response=rbinom(50,1,0.2), and yhat=runif(50) are simulating the
output of a say logistic model, where Response is actual 0-1
responses, and yhat is the predicted
response variable.
I usually resample the original data to get some noise out of the
data. I find it valuable if I can resample from a large sample than
the original.
(I know this is viewed by some as unorthodox.)
Your point: I only need Response as a column vector.
That said, what would you alter, please?
Thanks for your time.
Regards,
Bruce
______________
Bruce Ratner PhD
The Significant Statistician™
(516) 791-3544
Statistical Predictive Analytics -- www.DMSTAT1.com
Machine-Learning Data Mining -- www.GenIQ.net
On Apr 21, 2017, at 3:43 PM, David L Carlson <dcarl...@tamu.edu>
wrote:
You have an issue at the top with
Resp <- data.frame(Response=rbinom(50,1,0.2), yhat=runif(50))
Resp <- Resp[order(Response$yhat,decreasing=TRUE),]
Since Response$yhat has not been defined at this point. Presumably
you want
Resp <- Resp[order(Resp$yhat,decreasing=TRUE),]
The main issue is that you have a variable Response that is
located in a data frame called ResponseX10.
In creating cum_R you need
cum_R <- with(ResponseX10, cumsum(Response))
then dec_mean
dec_mean <- with(ResponseX10, aggregate(Response, by=list(decc),
mean))
then dd
dd <- with(ResponseX10, cbind(Response, dd_))
You might consider if Response really needs to be inside a data
frame that consists of a single column (maybe you do if you need
to keep track of the row numbers). If you just worked with the
vector Response, you would not have to use with() or attach().
I'm not sure what the first few lines of your code are intended to
do. You choose random binomial values and uniform random values
and then order the first by the second. But rbinom() is selecting
random values so what is the purpose of randomizing random values?
If the real data consist of a vector of 1's and 0's and those need
to be randomized, sample(data) will do it for you.
Then those numbers are replicated 10 times. Why not just select
500 values using rbinom() initially?
David C
-----Original Message-----
From: BR_email [mailto:b...@dmstat1.com]
Sent: Friday, April 21, 2017 1:22 PM
To: David L Carlson <dcarl...@tamu.edu>; r-help@r-project.org
Subject: Re: [R] Looking for a package to replace xtable
David:
I tried somethings and got a little more working.
Now, I am struck at last line provided: "dec_mean <-
aggregate(Response ~ decc, dd, mean)"
Any help is appreciated.
Bruce
*****
Resp <- data.frame(Response=rbinom(50,1,0.2), yhat=runif(50))
Resp <- Resp[order(Response$yhat,decreasing=TRUE),]
ResponseX10 <- do.call(rbind, replicate(10, Resp, simplify=FALSE))
str(ResponseX10)
ResponseX10 <-
ResponseX10[order(ResponseX10$yhat,decreasing=TRUE),]
str(ResponseX10)
head(ResponseX10)
ResponseX10[[2]] <- NULL
ResponseX10 <- data.frame(ResponseX10)
str(ResponseX10)
cum_R <- cumsum(Response)
cum_R
sam_size <- n
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
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