Re: [R] remove

Val, Working with R's special missing value indicator (NA) would be useful here. You could use the na.strings arg in read.table() to recognise "-" as a missing value: dfr <- read.table( text= 'first week last Alex1 West Bob 1 John Cory1 Jack Cory2 - Bob 2 John Bob

Re: [R] Help with saving user defined functions

ecdf() is part of the stats package, which is (typically) automatically attached on startup. I have no idea what you mean by "splitting" and "saving." This is basically how all of R works -- e.g. see the value of lm() and the (S3) plot method, plot.lm, for "lm" objects. This has nothing to do

Re: [R] remove

Hi Jeff and All, When I examined the excluded data, ie., first name with with different last names, I noticed that some last names were not recorded or instance, I modified the data as follows DF <- read.table( text= 'first week last Alex1 West Bob 1 John Cory1 Jack Cory

Re: [R] Converting Excel Date format into R-Date formats

Hi Jeff, Most likely the "Event Date" field is a factor. Try this: df$Event.Date <- as.Date(as.character(df$Event.Date), "%d-%b-%y") Also beware of Excel's habit of silently converting mixed date formats (i.e. dd/mm/ and mm/dd/) to one or the other format. The only way I know to prevent

Re: [R] Help with saving user defined functions

I want to split my computation into parts. The first script processes the data, the second does the graphics. I want to save results of time-consuming calculations. My example tried to simulate this by terminate the session without saving it, so the environment was lost on purpose. What confuses

Re: [R] remove

Sorry Jeff, I did not finish my email. I accidentally touched the send button. My question was the when I used this one length(unique(result2$first)) vs dim(result2[!duplicated(result2[,c('first')]),]) [1] I did get different results but now I found out the problem. Thank you!. On

Re: [R] Help with saving user defined functions

Jeff: Oh yes!-- and I meant to say so and forgot, so I'm glad you did. Not only might the free variable in the function not be there; worse yet, it might be there but something else. So it seems like a disaster waiting to happen. The solution, I would presume, is to have no free variables (make

Re: [R] remove

Your question mystifies me, since it looks to me like you already know the answer. -- Sent from my phone. Please excuse my brevity. On February 12, 2017 3:30:49 PM PST, Val wrote: >Hi Jeff and all, > How do I get the number of unique first names in the two data sets? >

Re: [R] Help with saving user defined functions

So doesn't the fact that a function contains a reference to an environment suggest that this whole exercise is a really bad idea? -- Sent from my phone. Please excuse my brevity. On February 12, 2017 4:05:31 PM PST, Bert Gunter wrote: >It worked fine for me: > >> t <-

[R] Converting Excel Date format into R-Date formats

R-Help Group What is the proper way to convert excel date formats to R-Date format. Event ID Event Date Event Type 250013 1-Jan-09 NSAG Attack 250015 1-Jan-09 NSAG Attack 250016 1-Jan-09 NSAG Attack Obviously this is wrong df$Event.Date <-

Re: [R] Help with saving user defined functions

It worked fine for me: > t <- rnorm(100) > cdf <- ecdf(t) > > trans <- function(x) qnorm(cdf(x) * 0.99) > saveRDS(trans, "/tmp/foo") > trans(1.2) [1] 1.042457 > trans1 <- readRDS("/tmp/foo") > trans1(0) [1] 0.1117773 Of course, if I remove cdf() from the global environment, it will fail: >

Re: [R] remove

Hi Jeff and all, How do I get the number of unique first names in the two data sets? for the first one, result2 <- DF[ 1 == err2, ] length(unique(result2$first)) On Sun, Feb 12, 2017 at 12:42 AM, Jeff Newmiller wrote: > The "by" function aggregates and returns a

[R] Help with saving user defined functions

I can't figure out how to save functions to RDS file. Here is an example what I am trying to achieve: > t <- rnorm(100) > cdf <- ecdf(t) > cdf(0) [1] 0.59 > saveRDS(cdf, "/tmp/foo") > Save workspace image? [y/n/c]: n [gtrojan@asok petproject]$ R > cdf <- readRDS("/tmp/foo") > cdf Empirical CDF

Re: [R] object of type 'closure' is not subsettable

> Error in forecast[[d + 1]] = paste(index(lEJReturnsOffset[windowLength]), : > object of type 'closure' is not subsettable A 'closure' is a function and you cannot use '[' or '[[' to make a subset of a function. You used forecast[d+1] <- ... in one branch of the 'if' statement and

Re: [R] Query - Merging and conditional replacement of values in a data frame

Thanks for all your help. This is helpful. Best, Bhaskar On Sun, Feb 12, 2017 at 4:35 AM, Jim Lemon wrote: > Hi Bhaskar, > Maybe: > > df1 <-read.table(text="time v1 v2 v3 > 1 2 3 4 > 2 5 6 4 > 3 1 3 4 > 4 1 3 4 > 5 2 3 4 > 6 2 3

Re: [R] [FORGED] Re: remove

Thank you Rainer, The question was :- 1. Identify those first names with different last names or more than one last names. 2. Once identified (like Alex) then exclude them. This is because not reliable record. On Sun, Feb 12, 2017 at 11:17 AM, Rainer Schuermann

Re: [R] [FORGED] Re: remove

I may not be understanding the question well enough but for me df[ df[ , "first"] != "Alex", ] seems to do the job: first week last Rainer On Sonntag, 12. Februar 2017 19:04:19 CET Rolf Turner wrote: > > On 12/02/17 18:36, Bert Gunter wrote: > > Basic stuff! > > > > Either

Re: [R] [FORGED] Re: remove

My understanding was that the discordant names has been identified. So in the example the OP gave, removing rows with first = "Alex" is done by: df[df$first !="Alex",] If that is not the case, as others have pointed out, various forms of tapply() (by, ave, etc.) can be used. I agree that that is

Re: [R] object of type 'closure' is not subsettable

By failing to send your email in plain text format on this mailing list, we see a damaged version of what you saw when you sent it. Also, we would need some some data to test the code with. Google "r reproducible example" to find discussions of how to ask questions online. From the error

Re: [R] remove

Exactly. Sort of like the optimisation of using which.max instead of max followed by which, though ideally the only intermediate vector would be the logical vector that says keep or don't keep. -- Sent from my phone. Please excuse my brevity. On February 11, 2017 11:19:11 PM PST, P Tennant

Re: [R] remove

Jeff, Rolf and Philip. Thank you very much for your suggestion. Jeff, you suggested if your data is big then consider data.table My data is "big" it is more than 200M records and I will see if this function works. Thank you again. On Sun, Feb 12, 2017 at 12:42 AM, Jeff Newmiller

[R] object of type 'closure' is not subsettable

Hi. I tried to run this R-code but still completely no idea why it still gives error message: Error in forecast[[d + 1]] = paste(index(lEJReturnsOffset[windowLength]),  : object of type 'closure' is not subsettable Here is the R-code: library(rugarch); library(sos);

Re: [R] Plotting Landscape in R-Studio

Colleagues who use Word seem to find no problem with .wmf files. On 11/02/2017 22:08, peter dalgaard wrote: On 11 Feb 2017, at 20:13 , Jeff Newmiller wrote: While the question AS POSED is off base here (and in fact unlikely to have any satisfactory answer due to

Re: [R] Query - Merging and conditional replacement of values in a data frame

Hi Bhaskar, Maybe: df1 <-read.table(text="time v1 v2 v3 1 2 3 4 2 5 6 4 3 1 3 4 4 1 3 4 5 2 3 4 6 2 3 4", header=TRUE) df2 <-read.table(text="time v11 v12 v13 3 112 3 4 4 112 3 4", header=TRUE) for(time1 in df1$time) {

Re: [R] How to disable verbose grob results in pdf when using knitr with gridExtra?

Sorry for no reproducible example. using warnings=FALSE chunk options in knitr does not help. I found it is not the knitr's business. I used resultpdf- grid.arrange(facetpoint1,pright1,pright2,pright3,pright4,pright5,pright6,pright7, ncol=2,

[R] How to create HyCa$NIR and octane　like the "yarn" of "pls".

I am a user of package, "pls". I am going to draw the NIR spectra of my own measured data using matplot. Question For example, I have such a csv data, "HyCa.csv", below. Would you please tell me how to create a data like the "yarn". yarn has the structure of "NIR" and "density". That is