Displaying 4 results from an estimated 4 matches for "x_sum".
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i_sum
2011 Aug 31
2
stumped on how to reorder factors
...factor
ordered by integer value), but I understand that this "mis-ordering" is
because the ordering is based on a character string data type and not on an
integer data type. Because I run into this problem frequently, I wrote a
small function to fix this:
reorder_factor = function(x, x_sum, decreasing=FALSE){
factor(as.character(x), levels=levels(x)[order(x_sum, decreasing=decreasing)
])
}
I can then run the following code to fix the problem:
A = reorder_factor(x=A, x_sum=as.numeric(levels(A)), decreasing=FALSE)
levels(A)
... and now I have correctly ordered integers. Perha...
2020 Oct 01
0
summarize_all Function
The warning gives some suggestions. E.g., replace funs(sum,prod) with
list(sum=sum,prod=prod).
% R CMD Rscript -e 'library(dplyr,warn.conflicts=FALSE);
data.frame(X=1:3,Y=c(11,13,17)) %>% summarize_all(funs(sum,prod))'
X_sum Y_sum X_prod Y_prod
1 6 41 6 2431
Warning message:
`funs()` is deprecated as of dplyr 0.8.0.
Please use a list of either functions or lambdas:
# Simple named list:
list(mean = mean, median = median)
# Auto named with `tibble::lst()`:
tibble::lst(mean, median)
# Using lamb...
2020 Oct 01
4
summarize_all Function
r-help Forum
I'm using the dplyr:: summarize_all(funs(sum)) function and am receiving a
warning message that the `funs()` is deprecated as of dplyr 0.8.0. Ok what
should I be using to summarize all columns by sum?
Jeff
[[alternative HTML version deleted]]
2009 May 08
1
glm fit
...35 degrees of freedom
Residual deviance: 14878 on 4028 degrees of freedom
AIC: 16737
Number of Fisher Scoring iterations: 2
But i'm not sure what I get out of the summary. What does it tell me?
How should the formula for Y look like, out from the summary? Is it
something like
Y=0.334288*X_sum+0.434262*X_2+ ??
And when I get a expression for Y, what does it tell me? Is it an expected
expression?
Can anyone help me please?
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