It will fix the problem by loading plotrix and then overwriting size tree:
library(plotrix)
source("/sizetree.R")
Jim
On Sat, Jul 31, 2021 at 2:16 AM Reza Norouzian wrote:
> Thank you, Jim. Just to make sure, does the function you've shared work
> independently or it depends on the current ve
Thank you, Jim. Just to make sure, does the function you've shared work
independently or it depends on the current version of the package which has
the bug?
Thanks again,
Reza
*Reza Norouzian (he/him/his)*
*Visiting Assistant Professor, Quantitative Methods*
*Department of Educational Psychology*
Hi Stefano,
Try using rollsum from the zoo package:
library(zoo)
rollsum_index<-function(x,window,val) return(which(rollsum(x,window) >= val))
rollsum_index(mydf$hn,2,80)
[1] 6 13 18 19
Jim
On Fri, Jul 30, 2021 at 5:24 PM Stefano Sofia
wrote:
>
> Dear R users,
> I have a data frame with daily
Thank you Petr,
simply perfect.
Thank you again
Stefano
(oo)
--oOO--( )--OOo--
Stefano Sofia PhD
Civil Protection - Marche Region - Italy
Meteo Section
Snow Section
Via del Colle Ameno 5
60126 Torrette di Ancona, Ancona (AN)
Uff: +39 071 806 7743
E-ma
Hi
I would use ?embed function.
nr <- which(rowSums(embed(mydf$hn, 2))>=80)
mydf[nr,]
But I feel strange that variant 40,50 should be accepted but 0, 90 should not.
Both after two consecutive days result in more than 80cm cumulative snow. What
about 1,80 how it differs from 0, 81. basically w
Dear R users,
I have a data frame with daily snow cumulates (these quantities are known as
"hn" and are expressed in cm), from the 1st of December to the 30th of April,
for more than twenty years.
I would need to find days when the sum of a given short interval (I might
choose two consecutive d
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