Note the following alternative to formula paste gymnastics:
## regr_names as in Rui's post
allnames <- c("B5", regr_names)
linmod4 <- lm(B5 ~. , data = OrigData[allnames], na.action = na.exclude)
## or even
linmod4 <- lm(OrigData[allnames], na.action = na.exclude)
see ?formula for details,
Dear All:
Re: Post-hoc pairwise Fisher’s exact tests with confidence Intervals
I am trying to conduct a Post-hoc pairwise comparison for comparing the
proportions of the ones in the 7 groups using the fisher exact test. I have
a data with 7 variables, data = (0,1). Event = 1.
*Q1.* Is
This question is off-topic here (see the Posting Guide, you are asking about a
contributed package). Like walking down the street and asking this question,
someone might know about it, but most will be puzzled.
You should know that multicore is quite sensitive to which kinds of operations
you
Hello,
Here is your code, simplified and maybe corrected.
Some previous notes:
1. You don't need to attach()
2. You don't need to create categorydata<- as.data.frame(OrigData),
read.csv already outputs a data.frame. In the code below, I use Origdata.
3. The file has many missing values, so
Dear R-users
I need help to understand the error message from furrr function.
I am trying to build a parallel compute system which combines two
desktop computers, one of which is a host computer, and runs ubuntu
over wsl2, and the other is a slave, which runs ubuntu. as its OS.
They are mutually
On Wed, 24 Nov 2021 13:36:28 +
Olivia Keefer wrote:
> dim(OrigData)
What is the size of OrigData? How much random-access memory does the
computer have? If there's a lot of memory, are you running a 32-bit or
a 64-bit build of R?
> linmod4 <- lm( B5 ~ B6_1 + B6_2 + B6_3 + B6_4 + B6_5 + B6_6
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