Reputation: 1331
I get the following error, "Error: Don't know how to select rows using an object of class quosures"
I have narrowed it down to one specific section of code in the R markdown file. If I highlight from Sum_Adjusted to "seriesttls") and run selected line, no errors. It is the tab row group item that throws it off.
Sum_Adjusted <- Adjusted %>%gt(rowname_col = "seriesttls") %>%
tab_row_group(group = "Super Sectors",
rows = vars("Mining and logging","Construction","Manufacturing","Trade,
transportation, and utilities","Information","Financial activities","Professional and
business services","Education and health services","Leisure and hospitality","Other
services","Government"))
I am hoping that from just looking at the code that someone can explain why I am getting this error now and not the last dozen times I have ran this exact same code. I have not been able to reproduce this in a smaller example.
str(Adjusted) produces this
tibble [12 x 7] (S3: tbl_df/tbl/data.frame)
$ seriesttls : chr [1:12] "Total nonfarm" "Mining and logging"
"Construction" "Manufacturing" ...
$ empces : num [1:12] 1335900 15000 91000 60200 282200 ...
$ MonthlyDifference: num [1:12] 4800 0 -1000 0 900 600 500 1500 0 1800 ...
$ AnnualDifference : num [1:12] 100900 200 -1900 5200 30600 ...
$ PercentGrowthRate: num [1:12] 0.0817 0.0135 -0.0205 0.0945 0.1216 ...
$ Max : num [1:12] 1442800 15800 146400 60300 282200 ...
$ oftotal : num [1:12] 1 0.0112 0.0681 0.0451 0.2112 ...
Upvotes: 1
Views: 922
Reputation: 887183
The issue is that the rows
should be a vector and thus instead of vars
(probably deprecated), use the standard select-helpers or just concatenate with c
as described in documentation
rows - The rows to be made components of the row group. Can either be a vector of row captions provided in c(), a vector of row indices, or a helper function focused on selections. The select helper functions are: starts_with(), ends_with(), contains(), matches(), one_of(), and everything().
We could do
library(gt)
library(dplyr)
Adjusted %>%
gt(rowname_col = "seriesttls") %>%
tab_row_group(label = "Super Sectors",
rows = c("Mining and logging","Construction","Manufacturing","Trade,
transportation, and utilities","Information","Financial activities","Professional and
business services","Education and health services","Leisure and hospitality","Other
services","Government"))
Using a reproducible example
gtcars %>%
dplyr::select(model, year, hp, trq) %>%
dplyr::slice(1:8) %>%
gt(rowname_col = "model") %>%
tab_row_group(
label = "numbered",
rows = c("GT", "California"))
-output
Upvotes: 2