Error when Knitr

[New2R]

I have two questions,
I am new to R and was using dplyr to summarize my data. below is my code but I think I used a long method, it could be shorter.

Workingdata <-  select(cSVDATA, current_reading_type,consumption, bill,region_name, date,
                                   custtype,anonid, groups, year, billmonth ) 
 
 #Table 1 of summary statistics
 UniqueID <- Workingdata %>% group_by(groups) %>% count(anonid, name = "Frequency")
 FrequencyT <- UniqueID %>%  group_by (groups) %>% summarise(Frequency = sum(Frequency))
 Anonid <- UniqueID %>%  group_by(groups) %>% tally(name = "customers")
 output2 <- left_join(Anonid,FrequencyT, by = "groups")
 print(output2)

Now, after getting my code right, I keep getting this error when knitting. Please note I have other codes before this and a bib file (I am writing a manuscript). See my knit error:

Quitting from lines 59-99 (Manuscript28thApril.Rmd) 
Error in select(cSVDATA, current_reading_type, consumption, bill, region_name,  : 
  unused arguments (current_reading_type, consumption, bill, region_name, date, custtype, anonid, groups, year, billmonth)
Calls: <Anonymous> ... handle -> withCallingHandlers -> withVisible -> eval -> eval
In addition: Warning messages:
1: package 'ggplot2' was built under R version 4.0.5 
2: package 'ggpubr' was built under R version 4.0.5 
3: package 'broom' was built under R version 4.0.5 
4: package 'AICcmodavg' was built under R version 4.0.5 
5: package 'dplyr' was built under R version 4.0.5 
6: package 'multcomp' was built under R version 4.0.5 
7: package 'TH.data' was built under R version 4.0.5 
8: package 'MASS' was built under R version 4.0.5 
9: package 'tibble' was built under R version 4.0.5 
10: package 'tidyr' was built under R version 4.0.5 
Execution halted

[jrkrideau]

It looks like you may have the name of the data.frame in the select statement.

Assuming your data is cSVDATA does this work?

Workingdata <- cSVDATA  %>%  select( current_reading_type,consumption, bill,region_name, date,
                                   custtype,anonid, groups, year, billmonth ) 

Otherwise we probably need a reproducible example (reprex)

FAQ: How to do a minimal reproducible example ( reprex ) for beginners

A minimal reproducible example consists of the following items: A minimal dataset, necessary to reproduce the issue The minimal runnable code necessary to reproduce the issue, which can be run on the given dataset, and including the necessary information on the used packages. Let's quickly go over each one of these with examples: Minimal Dataset (Sample Data) You need to provide a data frame that is small enough to be (reasonably) pasted on a post, but big enough to reproduce your issue. Let's say, as an example, that you are working with the iris data frame head(iris) #> Sepal.Length Sepal.Width Petal.Length Petal.Width Species #> 1 5.1 3.5 1.4 0.…

About the warning messages, what is your version of R? The command sessionInfo() will give you that infrmation.