Displaying 3 results from an estimated 3 matches for "21mil".
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2025 May 07
2
Help merging large datasets in R
...ode = merged 1 <- dataset 2[dataset 1, nomatch = NA]. This results in a dataset of 600.000 (looks to be alright).
* Merged the dataset merged 1 and datasets 3/4 using the following code = merged 2 <- dataset 3/4[merged 1, nomatch = NA, allow.cartesian = TRUE]. This results in a dataset of 21mil (as expected). To this i have applied an additional criteria (dates in dataset 3/4 should be within 365 days of the dates in merged 1), which reduces merged 2 to around 170.000.
* Merged the dataset merged 2 and datasets 5/6 using the following code = merged 3 <- dataset 5/6[merged 2, nomatc...
2025 May 07
2
Help merging large datasets in R
...ode = merged 1 <- dataset 2[dataset 1, nomatch = NA]. This results in a dataset of 600.000 (looks to be alright).
* Merged the dataset merged 1 and datasets 3/4 using the following code = merged 2 <- dataset 3/4[merged 1, nomatch = NA, allow.cartesian = TRUE]. This results in a dataset of 21mil (as expected). To this i have applied an additional criteria (dates in dataset 3/4 should be within 365 days of the dates in merged 1), which reduces merged 2 to around 170.000.
* Merged the dataset merged 2 and datasets 5/6 using the following code = merged 3 <- dataset 5/6[merged 2, nomatc...
2025 May 08
1
Help merging large datasets in R
...= merged 1 <- dataset 2[dataset 1, nomatch = NA]. This results in a dataset of 600.000 (looks to be alright).
> * Merged the dataset merged 1 and datasets 3/4 using the following code = merged 2 <- dataset 3/4[merged 1, nomatch = NA, allow.cartesian = TRUE]. This results in a dataset of 21mil (as expected). To this i have applied an additional criteria (dates in dataset 3/4 should be within 365 days of the dates in merged 1), which reduces merged 2 to around 170.000.
> * Merged the dataset merged 2 and datasets 5/6 using the following code = merged 3 <- dataset 5/6[merged 2, no...