I made the objects with the variable name I want and selected variables for imported data. But when i use full_join or count, it kept giving me the Error in vec_as_location():. Does anyone know how to avoid this error? The code I wrote a month ago also got this error. But a month ago it worked.
vars <- c("pidp", "cb_age")
wave1 <- read_dta("./data/dresp_w.dta",
col_select = vars)
vars2 <- c("pidp", "cb_sex")
wave2 <- read_dta("./data/dresp_w.dta",
col_select = vars2)
wave12 <- full_join(wave1, wave2, by = "pidp")
count(wave1,cb_sex)
The output for dput(head(wave1))
dput(head(wave2)) would be:
structure(list(pidp = structure(c(76165, 280165, 599765, 732365,
1587125, 3424485), label = "Cross-wave Person Identifier (Public Release)", format.stata = "%12.0g"),
cb_age = structure(c(37, 40, 33, 34, 54, 84), label = "Age - derived", format.stata = "%8.0g", labels = c(Missing = -9,
Inapplicable = -8, Refusal = -2, `Don't know` = -1), class = c("haven_labelled",
"vctrs_vctr", "double"))), row.names = c(NA, -6L), class = c("tbl_df",
"tbl", "data.frame"))
structure(list(pidp = structure(c(76165, 280165, 599765, 732365,
1587125, 3424485), label = "Cross-wave Person Identifier (Public Release)", format.stata = "%12.0g"),
cb_sex = structure(c(2, 2, 2, 1, 2, 2), label = "Respondent sex", format.stata = "%8.0g", labels = c(Missing = -9,
Inapplicable = -8, Refusal = -2, `Don't know` = -1, Male = 1,
Female = 2), class = c("haven_labelled", "vctrs_vctr", "double"
))), row.names = c(NA, -6L), class = c("tbl_df", "tbl", "data.frame"
))
Thank you for your help!!
It seems to work fine with dplyr packageVersion -1.0.9
dplyr::count(wave2, cb_sex)
# A tibble: 2 × 2
cb_sex n
<dbl+lbl> <int>
1 1 [Male] 1
2 2 [Female] 5
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