similar to: Mutate issue help needed

Hi all, It has been a year or so since I have run this code to plot temporal activity. It was working now I am getting an error related to MUTATE. Error in UseMethod("mutate") : ? no applicable method for 'mutate' applied to an object of class "character" Any help/suggestions welcomed. Tnx to all the R code gurus out there. R v 4.4.0 Bat Dude The saved code I

Posting Error. OP sent HTML email which by default includes a backup text version with "helpful" marks where formatting was in the original, and the mailing list deleted the HTML (per policy stated in the posting guide linked at the bottom of every email) which effectively leaves the mailing list recipients guessing as to what was originally sent. Correct configuration of OPs email

I did a quick clean-up and deleted a couple of , I hope, library calls and I think the OP's code should look like this ========================================== # Load packages & set ggplot theme ---------------------------------------- library(tidyverse) theme_set(theme_bw()) # Select dataset and assign name to "All" ??? ----------------------------------- fname <-

Hi all, Tnx for the varied suggestions.? I tried the "cleaned up code" John suggested with the same Mutate error message No clue why an asterisk * was added to the message lines that were only # comments. Eons ago Hadley helped with the code with early versions of the original GGPLOT and it has been modified a bit to reflect current packages and worked when pasted into the R 4.4.0

Am I being "thick" here .. mutate(data, *# text Is interpretated as mutate (data, * The star is the character... (Data is the line above being piped) Why have the comments been *'d?. Is that the source error or a posting error here? On Tue, 17 Dec 2024, 14:57 Ivan Krylov via R-help, <r-help at r-project.org> wrote: > ? Tue, 17 Dec 2024 06:44:50 -0700 > Neotropical

Hello, The range() with complete.cases() removes NA's for the date variables that are read from a data frame. However, the issue is that the same function does not remove NA's for the other date variable that is created using the dplyr/mutate(). The console and the reproducible example are given below. Any advice how to resolve this issue would be appreciated. Thanks, Pradip Muhuri

Hello, The example data frame in the reproducible code below has 5 columns (1 column for id and 4 columns for dates), and there are 7 observations. I would like to insert the most recent date from those 4 date columns into a new column (oiddate) using the mutate() function in the dplyr package. I am getting correct results (NA in the new column) if a given row has all NA's in the four

?s 22:50 de 17/10/2024, Sparks, John escreveu: > Hi R Helpers, > > I have been looking for an example of how to execute different dplyr mutate statements on the same dataframe in a single step. I show how to do what I want to do by going from df0 to df1 to df2 to df3 by applying a mutate statement to each dataframe in sequence, but I would like to know if there is a way to execute this

? Tue, 17 Dec 2024 06:44:50 -0700 Neotropical bat risk assessments <neotropical.bats at gmail.com> ?????: > fname <- "Buzz.txt" > All<- fname I think the code needs a call to read.table() or another function to read your data here. 'All' is still a string containing the name of the file, not its contents. > All %>% > mutate(*#convert Date from chr

Hi Kevin, I ran the code on the full data set and was able to reproduce the problem that you are facing. My guess is that you have an error in your intuition and/or logic, and that this relates to the use of the subscript [1]. Specifically, on the full dataset, the condition trialData$date[trialData$survey_start == "Y" & trialData$year == 2013 & trialData$site ==

I don't fully understand the logic you are trying to implement, but something along the lines of foo <- cut(trialData$date, breaks = as.Date(c("2007-01-01", "2008-05-01", "2009-04-01", "2010-05-01",

That many ifelse statements is obviously rather a pain. Would you not have got what you want with ... paste("survey", year, sep="_") ? If that is not what you're looking for (eg because 'year' is the observation year and not the study start year), perhaps something that picks the minimum year for a subject or other relevant group might work? For example

Hi R Helpers, I have been looking for an example of how to execute different dplyr mutate statements on the same dataframe in a single step. I show how to do what I want to do by going from df0 to df1 to df2 to df3 by applying a mutate statement to each dataframe in sequence, but I would like to know if there is a way to execute this in a single step; so simply go from df0 to df1 while executing

Hi, I am having trouble trying to figure out why if_else is behaving the way it is, it may be my code or the way the data is structured. Below is a snapshot of a database am working on and it represents a longitudinal survey of study participants in a trial with weekly follow up. The variable "survey_start" represents the start of the study-defined one year follow up (which we called

Hello everyone. Could you please help me? I need to do some sales analysis and i'm stuk. I've got a dataset that contains next information: Sales_department; sales_manager; Client; transaction ID; Product (SKU), Cost, Gross income, Profitability Ineed to perfom an ABC analysis (by the Cost of sold products to this client) to find the A clients of each manager, i'm doing it this

I have a model layer containing Movie, Person, Role, and RoleType, making it possible to express facts such as "Clint Easterbunny is director of the movie Gran Milano". The relevant model and associations look like this class Movie < ActiveRecord::Base has_many :roles, :include => :role_type, :dependent => :destroy has_many :participants, :through => :roles, :source

I created this graph in ggplot and added ablines to the different facets by specifying with subset commands. As you might see, there are still a few issues. 1.) I would like to have the diamonds in a grey scale instead of colors. I accomplished this (see graph 2) until I overwrote the label title for the treatments and the colors came back (graph 1). I used these two commands: p=ggplot(data =

Excuse for the delay; I had waited for other / additional comments and reactions (and been distracted with other urgent issues), but do want to keep this thread alive [inline] .. >>>>> Duncan Murdoch <murdoch.duncan at gmail.com> >>>>> on Sat, 6 Aug 2016 11:30:08 -0400 writes: > On 06/08/2016 10:18 AM, Martin Maechler wrote: >> Dear

On Fri, Aug 12, 2016 at 11:31 AM, Hadley Wickham <h.wickham at gmail.com> wrote: >> >> One possibility would also be to consider a "numbers-only" or >> >> rather "same type"-only {e.g., would also work for characters} >> >> version. >> >> > I don't know what you mean by these. >> >> In the

> >> One possibility would also be to consider a "numbers-only" or > >> rather "same type"-only {e.g., would also work for characters} > >> version. > > > I don't know what you mean by these. > > In the mean time, Bob Rudis mentioned dplyr::if_else(), > which is very relevant, thank you Bob! > > As I have