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rollapply for cumulative window

score 2521 · Answer 1 · 2014-11-28T14:17:47.417000

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rollapply for cumulative window

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score 543 · Answer 8 · 2014-12-04T07:34:24.397000

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score 131 · Answer 9 · 2023-11-26T20:44:09.997000

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score 252 · Answer 10 · 2020-11-30T11:20:28.520000

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score 150 · Answer 11 · 2020-11-27T19:59:19.710000

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score 176 · Answer 12 · 2020-12-01T18:03:32.830000

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score 241 · Answer 15 · 2022-04-29T14:04:43.070000

applying moving averages/ rollapply over multiple variables

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score 321 · Answer 16 · 2021-04-22T17:31:03.473000

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321 views Asked by Japes At 22 April 2021 at 17:31

score 981 · Answer 17 · 2021-05-05T04:15:32.833000

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score 409 · Answer 18 · 2021-05-11T08:54:58.097000

zoo::rollapply window with over column values rather than rows

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score 3902 · Answer 19 · 2018-09-14T21:37:29.860000

How to sum every nth (200) observation in a data frame using R

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190 views Asked by yeeen At 06 October 2018 at 17:57

TechQA.

List Question

rollapply for cumulative window

rollapply for large data using sparklyr

dplyr rolling change multiple columns based on multiple columns

How to parallelize rollapply?

Why does the rollapply function in R returns a matrix when applied to a vector?

R Sum complete cases of two columns

R xts: apply over a rolling window

Using rollapply to process time window -- not fixed sample window for irregular time series

Lead and lag multiple values together in same new column

Using rollapply to compute a week on week percentage change

Rollapply or similar for multi-condition thresholds in time series data

filter out rolling mean results with limited data

Assigning the numbers and summarising the number of counts in a sliding window in R

Multiple linear regression by group in a rolling window in R

applying moving averages/ rollapply over multiple variables

How can I find the most common sequences in my data using R?

Getting rolling average of multiple column by multiple condition, with dplyr and apply family

zoo::rollapply window with over column values rather than rows

How to sum every nth (200) observation in a data frame using R

rollapplyr on missing records related by date

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