I am using Blogdown to create a new post and I am getting the following error when trying to preview.
The code works well in my Rmarkdown file but I cannot update it to my blog. Do anyone know where the problem is?
Quitting from lines 36-47
Error in UseMethod("select_") :
no applicable method for 'select_' applied to an object of class "function"
Calls: local ... freduce -> -> select -> select.default -> select_
Execution halted
Here is my code in lines 36-47;
library(corrplot)
library(RColorBrewer)
library(tidyverse)
corrplot(cor(df %>% select(Sales, Customers, Store,
Open, SchoolHoliday,
DayOfWeek, month, year,
CompetitionDistance,
Promo, Promo2_active) %>%
filter(!is.na(Sales), !is.na(CompetitionDistance))),
type="upper", order="original",
col=brewer.pal(n=8, name="RdYlBu"))
Thanks a lot.
I think you're getting this error because you don't have an object called df in your global environment. Either your data frame hasn't been created yet or it is called something else. There is a little-known function called df in the stats package, which is on the search path when you start an R session. You can check this by starting a new R session and typing df into the console. You will see the body of the function stats::df.
You are therefore getting the error because you are trying to subset a function, not a data frame. To resolve the error, make sure you create a data frame called df before your call to corrplot
Related
I am trying to filter a dataset in R. I have installed (dplyr) package. I keep getting an error message that the column i am trying to filter cannot be found. I have checked the dataset name for spelling errors as well as the column name. I can clearly see the column "dose" in the dataset. I was expecting the dataset to be filtered according to the codeCan someone please help? I will share the code below and the error message.
data("ToothGrowth")
View (ToothGrowth)
filtered_ToothG <- filter(ToothGrowth,dose==0.5)
View (filtered_ToothG)
Error in filter(ToothGrowth, dose == 0.5) : object 'dose' not found
I created my first R package which has three functions, to query the data in database and return the data frames based on user input. Since the data frames are large instead of printing them in console, I added View() within my function to show user the data extracted based on their input.
Code goes like this:
queryData <- function(p, q, r, s, t){
d <- DBI::dbGetQuery(conn = con, statement = "SELECT * FROM dataset" )
d <- d%>%
dplyr::filter(org == p) %>%
dplyr::filter(exp == q) %>%
dplyr::filter(dis %like% r) %>%
dplyr::filter(tis %like% s) %>%
dplyr::filter(Rx %like% t)
print(paste("No. of datasets that matched your criteria:",nrow(d)))
View(d)
}
R check was fine, I was able to install the package and run the functions. But it gave me error when I created vignette for the package.
Here is the error message:
Error: processing vignette 'package_vignette.Rmd' failed with diagnostics:
View() should not be used in examples etc
--- failed re-building 'package_vignette.Rmd'
SUMMARY: processing the following file failed:
'package_vignette.Rmd'
Error: Vignette re-building failed.
Any advice on how to fix this issue?
As the error message mentioned, View() is not made for RMarkdown, which is what the package vignettes are written in. The R Markdown cookbook suggests you can display the data just by calling the object using the built-in knitr::kable(). If it's too long you can show just the first bit by subsetting it. E.g.
knitr::kable(my_table[5,5])
will print only the first 5 rows and columns of the table. There are other packages you can use too (a brief list here), which work differently depending on the desired output format.
Alternatively, you can use paged tables to avoid scrolling:
rmarkdown::paged_table(my_table)
tree_mvBM <- read.nexus("C:/Users/Zach/Desktop/tree_mvBM.tre")
View(tree_mvBM)
dat <- data$Tp; names(dat) <- rownames(data)
Error in data$Tp : object of type 'closure' is not subsettable
You're trying to refer to an object called data in your global workspace, presumably a data frame. The object doesn't exist (you forgot to read it in,or you called it something else, or ... ?), so R is instead finding the built-in function data. It is trying to "subset" it (i.e. $Tp tells R to extract the element named "Tp"), which is not possible because you can't extract an element of a function. (Functions are called "closures" in R for technical reasons.)
This is one reason (probably the main reason) that you shouldn't give your variables names that match the names of built-in R objects (like I, t, c, data, df, ...). If you had called your data my_data instead the error message would be
Error: object 'my_data' not found
which might be easier to understand.
This is such a common error that there are jokes about it (image search the error message):
I am trying to load the state map from the maps package into an R object. I am hoping it is a SpatialPolygonsDataFrame or something I can turn into one after I have inspected it. However I am failing at the first step – getting it into an R object. I do not know the file type.
I first tried to assign the map() output to an R object directly:
st_m <- maps::map(database = "state")
draws the map, but str(st_m) appears to do nothing, unless it is redrawing the same map.
Then I tried loading it as a dataset: st_m <- data("stateMapEnv", package="maps") but this just returns a string:
> str(stateMapEnv)
chr "R_MAP_DATA_DIR"
I opened the maps directory win-library/3.4/maps/mapdata/ and found what I think is the map file, “state.L”.
I tried reading it with scan and got an error message I do not understand:
scan(file = "D:/Documents/R/win-library/3.4/maps/mapdata/state.L")
Error in scan(file = "D:/Documents/R/win-library/3.4/maps/mapdata/state.L") :
scan() expected 'a real', got '#'
I then opened the file with Notepad++. It appears to be a binary or compressed file.
So I thought it might be an R data file with an unusual extension. But my attempt to load it returned a “bad magic number” error:
st_m <- load("D:/Documents/R/win-library/3.4/maps/mapdata/state.L")
Error in load("D:/Documents/R/win-library/3.4/maps/mapdata/state.L") :
bad restore file magic number (file may be corrupted) -- no data loaded
Observing that these responses have progressed from the unhelpful through the incomprehensible to the occult, I thought it best to seek assistance from the wizards of stackoverflow.
This should be able to export the 'state' or any other maps dataset for you:
library(ggplot2)
state_dataset <- map_data("state")
I am new to SparkR, so please forgive if my question is very basic.
I work on databricks and try to get all unique dates of a column of a SparkDataFrame.
When I run:
uniquedays <- SparkR::distinct(df$datadate)
I get the error message:
unable to find an inherited method for function ‘distinct’ for signature ‘"Column"’
On Stack Overflow, I found out that this usually means
(If I run isS4(df), it returns TRUE):
That is the type of message you will get when attempting to apply an S4 generic function to an object of a class for which no defined S4 method exists
I also tried to run
uniquedays <- SparkR::unique(df$datadate)
where I get the error message:
unique() applies only to vectors
It feels like, I am missing something basic here.
Thank you for your help!
Try this:
library(magrittr)
uniquedays <- SparkR::select(df, df$datadate) %>% SparkR::distinct()