StackOverflow Questions for Tag: dtplyr

Anand

Reputation: 71

Problem with dtplyr - `by` can't contain join column `V2`, `explicit` which is missing from RHS

rdplyrdtplyr

Score: 0

Answers: 0

LulY

Reputation: 1294

What are possible problems of using dtplyr::lazy_dt()?

rdplyrdata.tabledtplyr

Score: -1

Answers: 2

Alberto Agudo Dominguez

Reputation: 881

Applying dtplyr directly to a data.table instead of a lazy_dt

rdplyrdata.tabledtplyr

Score: 3

Answers: 1

doraemon

Reputation: 835

dtplyr cannot be used with illegal name

rdplyrtidyversedtplyr

Score: 1

Answers: 1

anderwyang

Reputation: 2411

`lazy_dt` not support `dplyr/across`?

rdplyracrossdtplyr

Score: 2

Answers: 2

user11057680

Reputation: 105

Optimizing dplyr summarise model run

rdplyrdata.tabledtplyr

Score: 1

Answers: 0

zhang

Reputation: 543

data.table fill NA by custom function and other cells

rdata.tabledtplyr

Score: 3

Answers: 2

zhang

Reputation: 543

How to filter a data.table based on an uncertain number of conditions?

rdata.tabledtplyr

Score: 2

Answers: 2

user165426

Reputation: 7

Is there an alternative to "ifelse(any(startsWith" in data.table package?

rdplyrdata.tabletidyversedtplyr

Score: 0

Answers: 2

abalter

Reputation: 10383

R bench package gives a strange error when I try to use the tidytable package

rdplyrbenchmarkingdtplyrtidytable

Score: 0

Answers: 0

user177196

Reputation: 728

dplyr to data.table for speed up execution time

rdataframedplyrdata.tabledtplyr

Score: 0

Answers: 1

Hakki

Reputation: 1472

R dtplyr using mutated columns in functions

rdtplyr

Score: 1

Answers: 1

b_surial

Reputation: 562

Non-equi join in tidyverse

rjoindplyrdbplyrdtplyr

Score: 13

Answers: 3

Pendragon

Reputation: 119

R Error in env_has(env, var, inherit = TRUE) : attempt to use zero-length variable name

rdplyrdtplyr

Score: 0

Answers: 0

littleworth

Reputation: 5169

How to use rowwise with dtplyr

rdplyrtidyversedtplyr

Score: 2

Answers: 0

MoltenLight

Reputation: 72

data.table::frollapply does not work as expected when the input is a column of lists

rdata.tabletidyversedtplyr

Score: 0

Answers: 2

The Curious One

Reputation: 105

How to get an entire column from a table with multiple columns on a condition that the column contains a specific value in R

rdataframedtplyr

Score: 0

Answers: 2

marine-ecologist

Reputation: 182

dtplyr throws an 'invalid 'type' (closure) of argument' using group_by() %>% sample_n() in dplyr and [[sample()], by=id] in data.table

rdplyrdata.tabledtplyr

Score: 0

Answers: 0

gaut

Reputation: 5958

R: Efficient iterative subsetting and filtering of large vector

rdplyrdata.tablercppdtplyr

Score: 3

Answers: 2

gaut

Reputation: 5958

Selecting and grouping multiple columns in dtplyr vs dplyr

rdplyrdtplyr

Score: 1

Answers: 1

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StackOverflow Questions for Tag: dtplyr

Problem with dtplyr - `by` can&#39;t contain join column `V2`, `explicit` which is missing from RHS

What are possible problems of using dtplyr::lazy_dt()?

Applying dtplyr directly to a data.table instead of a lazy_dt

dtplyr cannot be used with illegal name

`lazy_dt` not support `dplyr/across`?

Optimizing dplyr summarise model run

data.table fill NA by custom function and other cells

How to filter a data.table based on an uncertain number of conditions?

Is there an alternative to &quot;ifelse(any(startsWith&quot; in data.table package?

R bench package gives a strange error when I try to use the tidytable package

dplyr to data.table for speed up execution time

R dtplyr using mutated columns in functions

Non-equi join in tidyverse

R Error in env_has(env, var, inherit = TRUE) : attempt to use zero-length variable name

How to use rowwise with dtplyr

data.table::frollapply does not work as expected when the input is a column of lists

How to get an entire column from a table with multiple columns on a condition that the column contains a specific value in R

dtplyr throws an &#39;invalid &#39;type&#39; (closure) of argument&#39; using group_by() %&gt;% sample_n() in dplyr and [[sample()], by=id] in data.table

R: Efficient iterative subsetting and filtering of large vector

Selecting and grouping multiple columns in dtplyr vs dplyr

Problem with dtplyr - `by` can't contain join column `V2`, `explicit` which is missing from RHS

Is there an alternative to "ifelse(any(startsWith" in data.table package?

dtplyr throws an 'invalid 'type' (closure) of argument' using group_by() %>% sample_n() in dplyr and [[sample()], by=id] in data.table