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...like ?. ??????.?? Torrent 1 Pic 8 Words 7 Minute Workout 7 Nights at Pizza House com.zombodroid com.zone Disney Kingdom Flippy Knife fliptech Floor is lava Go_Launcher myyearbook From: Bert Gunter <bgunter.4567 at gmail.com> Sent: Saturday, May 5, 2018 2:14 AM To: reichmanj at sbcglobal.net Cc: R-help <r-help at r-project.org> Subject: Re: [R] Discovering patterns in textual strings I am still somewhat confused by your specifications, but others may not be. Part of my confusion stems from your failure to provide a reproducible example (see e.g. the posting g...

...; 5 and 6 are the second; etc. Cheers, Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) On Fri, May 4, 2018 at 9:00 PM, Jeff Reichman <reichmanj at sbcglobal.net> wrote: > Bert > > Thank you for the link. Figured there might be something > > Regarding your questions > > This is from a large 53 Billion records. The column in question are > AdNames (Real Time Bidding data) > > #1. Generally yes, but not al...

r-help Forum I'm using the dplyr:: summarize_all(funs(sum)) function and am receiving a warning message that the `funs()` is deprecated as of dplyr 0.8.0. Ok what should I be using to summarize all columns by sum? Jeff [[alternative HTML version deleted]]

...ngs()` to see where this warning was generated. % R CMD Rscript -e 'library(dplyr,warn.conflicts=FALSE); data.frame(X=1:3,Y=c(11,13,17)) %>% summarize_all(list(sum=sum,prod=prod))' X_sum Y_sum X_prod Y_prod 1 6 41 6 2431 On Thu, Oct 1, 2020 at 10:29 AM Jeff Reichman <reichmanj at sbcglobal.net> wrote: > r-help Forum > > > > I'm using the dplyr:: summarize_all(funs(sum)) function and am receiving a > warning message that the `funs()` is deprecated as of dplyr 0.8.0. Ok what > should I be using to summarize all columns by sum? > > > &...

R Help I have a data.frame where I've broken out the year <dbl> and an ordered month <ord> values. But I need to recombine them so I can graph mon-year in order but when I recombine I lose the month order and the results are plotted alphabetical. Year month mon_year <dbl> <ord> 2021 Mar Mar-2021 2021 Jan

R- Help Forum Working with the "likert" package and I can't figure out why my "bar" graphs are backwards (see attached). The percentages are place correctly but the bars are backwards. #Sample code # libraries library(likert) # create data band <- c("Band 3","Band 3","Band 3","Band 3","Band 3","Band

Hello, Any of the two will do, the first is now preferred. library(dplyr) mtcars %>% summarise(across(everything(), sum)) mtcars %>% summarise_all(sum) # no need for `funs()` Hope this helps, Rui Barradas ?s 18:29 de 01/10/20, Jeff Reichman escreveu: > r-help Forum > > > > I'm using the dplyr:: summarize_all(funs(sum)) function and am receiving a >

R-Help Community How do I add a numeric class to a data .frame. For example, I have calculated the following probabilities 1 2 3 0.0011566127 0.0009267028 0.0081623324 How would I add them back into my data.frame for example My_df <- data.frame(col_1 = c('A', 'B', 'C')) such that I end up with col_1

R Help Forum Is there a R library (or a way) that I can extract unique character strings, or repeating patterns in textual strings. Say for example I have the following records: Abc_1234_kjhksh_276 Abc Abc_1234_lakdofyo_324 Bce_876_skdhk_*&^%*& Bce Bce_454 And I would like to see the following results Abc Abc_1234 Bce Jeff Reichman [[alternative HTML version

?s 21:29 de 16/05/2023, Jeff Reichman escreveu: > R Help > > > > I have a data.frame where I've broken out the year <dbl> and an ordered > month <ord> values. But I need to recombine them so I can graph mon-year in > order but when I recombine I lose the month order and the results are > plotted alphabetical. > > > > Year month

R Help Trying to figure out how to create a simple program that will as the user from a value input and simply add 5 units to that value then ask the user for another value and add 45 units to it and on and on. Then how does one exit the loop of program? # Create a function called `add_five` add_five <- function(x) { # Add 5 to the input value x + 5 } readline(prompt =

R- Help Forum Working with the "likert" package and find that my "bar" graphs are backwards (see attached) > summary(results) Item low neutral high mean sd 4 Q4 5 15 80 2.75 0.5501196 5 Q5 20 40 40 2.20 0.7677719 1 Q1 65 30 5 1.40 0.5982430 3 Q3 5 90 5 2.00 0.3244428 2 Q2 90 10 0 1.10 0.3077935

Hello, Sorry, but I think my first answer is wrong. You probably want something along the lines of sp <- split(priceStore_Grps, priceStore_Grps$StorePC) res <- lapply(seq_along(sp), function(i){ sp[[i]]$StoreID <- paste("Store", i, sep = "_") sp[[i]] }) res <- do.call(rbind, res) row.names(res) <- NULL Hope this helps, Rui Barradas On 5/26/2018

R Help Community I'm trying to understand time series (TS) objects. Thought I understood but recently have run into a series of error messages that I'm not sure how to handle. I have 15 years of quarterly data and I typically create a TS object via something like... data.ts <- ts(mydata, start = 2002, frequency = 4) this create a matric as opposed to a vector object as I receive a

Hello, See if this is it: priceStore_Grps$StoreID <- paste("Store", seq_len(nrow(priceStore_Grps)), sep = "_") Hope this helps, Rui Barradas On 5/26/2018 2:03 PM, Jeff Reichman wrote: > ALCON > > > > I'm trying to figure out how to rename groups in a data frame after groups > by selected variabels. I am using the dplyr library to group my

R-Help I am attempting to create a series of bivariate normal distributions. So using the mvtnorm library I have created the following code ... # Standard deviations and correlation sig_x <- 1 sig_y <- 1 rho_xy <- 0.0 # Covariance between X and Y sig_xy <- rho_xy * sig_x *sig_y # Covariance matrix Sigma_xy <- matrix(c(sig_x ^ 2, sig_xy, sig_xy, sig_y ^ 2), nrow = 2, ncol = 2)

ALCON I'm trying to figure out how to rename groups in a data frame after groups by selected variabels. I am using the dplyr library to group my data by 3 variables as follows # group by lat (StoreX)/long (StoreY) priceStore <- LapTopSales[,c(4,5,15,16)] priceStore <- priceStore[complete.cases(priceStore), ] # keep only non NA records priceStore_Grps <- priceStore %>%

R Project I receive the erro highlighted in yellow when attempting to combine two Corpus, so I'm assuming I'm not combining the two variables (nb_pos and nb_neg) in the following line nb_all <- c(nb_pos,nb_neg,recursive=TRUE) # anyone see anything wrong with this line of code -------------------------------------------------- > library("tm") Loading

R-Help I created a "shortdate" for the purpose of aggregating each var (S72 .S119) by daily sum , but not sure how to handle using a POSIXlt object. > myData$shortdate <- strftime(myData$time, format="%Y/%m/%d") > head(myData) time s72 s79 s82 s83 s116 s119 shortdate 1 2016-10-03 00:00:00 0 0 1 0 0 0 2016/10/03 2 2016-10-03 01:00:00

R-Help Please disregard as I figure something out, unless there is a more elegant way ... myData.sum <- aggregate(x = myData[c("s72","s79","s82","s83","s116","s119")], FUN = sum, by = list(Group.date = myData$shortdate)) > head(myData.sum) Group.date s72 s79 s82 s83 s116 s119 1