Hello Thomas,
Consider that the primary bottleneck may be tied to memory usage and the
complexity of pivoting extremely large datasets into wide formats with tens of
thousands of unique values per column. Extremely large expansions of columns
inherently stress both memory and CPU, and splitting
Maybe ask on the HPC list? [1]
A general tip... you may be running out of memory. If at all possible you need
to make sure you extract the data subsets in the parent process, and limit the
amount of environment data passed into the child processes. That is, instead of
using an integer counter t
Hi R users.
Apologies for the lack of concrete examples because the dataset is large, and
it being so I believe is the issue.
I multiple, very large datasets for which I need to generate 0/1
absence/presence columns
Some include over 200M rows, with two columns that need presence/absence
colum
On 2024-12-10 11:36 a.m., Christofer Bogaso wrote:
Hi,
I have below code
FN1 = function(x, y) 3
outer(1:9, 1:9, FN1)
With above I get error as below
Error in dim(robj) <- c(dX, dY) :
dims [product 81] do not match the length of object [1]
Could you please help to understand why is it fa
outer() expects a return value with the same length as that of x.
You could change the code to rep(3, length(x))
Or if you don't want to change the code of the function, you could make a
wrapper and use that instead:
function (x, y)
{
v <- FN1(x, y)
if (length(v) != 1) v else rep(v, lengt
Hi,
I have below code
FN1 = function(x, y) 3
outer(1:9, 1:9, FN1)
With above I get error as below
Error in dim(robj) <- c(dX, dY) :
dims [product 81] do not match the length of object [1]
Could you please help to understand why is it failing? I am just
expecting to get a matrix with all el
Thanks for sticking with me Tim. Your solution is clear and works like a
charm.
Philip
On 2024-12-10 08:35, Ebert,Timothy Aaron wrote:
You will need to add code to tell R which variables to plot in reverse
color order. In this code, I chose variable B to plot in reverse order.
library(ggplo
You will need to add code to tell R which variables to plot in reverse color
order. In this code, I chose variable B to plot in reverse order.
library(ggplot2)
library(tidyr)
library(dplyr)
dat <- data.frame(
date = seq.Date(as.Date("2024-01-01"), as.Date("2024-06-01"), by = "month"),
A =
Thank you for the suggestion. I tried it, but could not get it to work.
When I added a second ggplot statement, I hit an error saying that one
cannot add a ggplot to a ggplot object. So I added a second geom_tile
statement instead. That worked, except that it warned that since a scale
for fill
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