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..."one-go": i.e. without the need to create the "intermediate" variable called "speed_vehicles" and with the use of the function weighted.mean() any hints for a different approach much appreciated thanks Da: "Massimo Bressan" <massimo.bressan at arpa.veneto.it> A: "r-help" <r-help at r-project.org> Inviato: Gioved?, 9 novembre 2017 12:20:52 Oggetto: weighted average grouped by variables hi all I have this dataframe (created as a reproducible example) mydf<-structure(list(date_time = structure(c(1508238000, 1508238000, 15...

...de site Thurn & Taxis. Vanaf dan ben je welkom op het nieuwe adres: Havenlaan 88 bus 73, 1000 Brussel. /////////////////////////////////////////////////////////////////////////////////////////// <https://www.inbo.be> 2017-11-09 14:16 GMT+01:00 Massimo Bressan <massimo.bressan at arpa.veneto.it>: > Hello > > an update about my question: I worked out the following solution (with the > package "dplyr") > > library(dplyr) > > mydf%>% > mutate(speed_vehicles=n_vehicles*mydf$speed) %>% > group_by(date_time,type) %>% > summarise( > s...

hi all I have this dataframe (created as a reproducible example) mydf<-structure(list(date_time = structure(c(1508238000, 1508238000, 1508238000, 1508238000, 1508238000, 1508238000, 1508238000), class = c("POSIXct", "POSIXt"), tzone = ""), direction = structure(c(1L, 1L, 1L, 1L, 2L, 2L, 2L), .Label = c("A", "B"), class =

...LocalGroupIsMember(). Right now, even though Samba is configured OK they always return false, even if a user is member of a group. I can use User Manager to view user and group information... Am I trying to use functions not implemented yet? Thanks, umberto -- Umberto Nicoletti - unicoletti@arpa.veneto.it | sysmaster@arpa.veneto.it Tel. 049-8239380 (assistenza) "We'll try to make different mistakes this time." - Larry Wall

Given this data frame (a simplified, essential reproducible example) A<-c(8,7,10,1,5) A_flag<-c(10,0,1,0,2) B<-c(5,6,2,1,0) B_flag<-c(12,9,0,5,0) mydf<-data.frame(A, A_flag, B, B_flag) # this is my initial df mydf I want to get to this final situation i<-which(mydf$A_flag==0) mydf$A[i]<-NA ii<-which(mydf$B_flag==0) mydf$B[ii]<-NA

...cause I need to deal with MANY columns (more than 40) in data frame with the same basic structure as the simplified example I posted thanks m ----- Messaggio originale ----- Da: "Bert Gunter" <bgunter.4567 at gmail.com> A: "Massimo Bressan" <massimo.bressan at arpa.veneto.it> Cc: "r-help" <r-help at r-project.org> Inviato: Mercoled?, 22 novembre 2017 17:32:33 Oggetto: Re: [R] assign NA to rows by test on multiple columns of a data frame Do you mean like this: mydf <- within(mydf, { is.na(A)<- !A_flag is.na(B)<- !B_flag...

...actly the expected result (see my post) to be noted that the columns affected should be "A" and "B" thanks for the help max ----- Messaggio originale ----- Da: "Rui Barradas" <ruipbarradas at sapo.pt> A: "Massimo Bressan" <massimo.bressan at arpa.veneto.it>, "r-help" <r-help at r-project.org> Inviato: Mercoled?, 22 novembre 2017 11:49:08 Oggetto: Re: [R] assign NA to rows by test on multiple columns of a data frame Hello, Try the following. icol <- which(grepl("flag", names(mydf))) mydf[icol] <- lapply(mydf[i...

hi thierry thanks for your reply yes, you are right, your solution is more straightforward best Da: "Thierry Onkelinx" <thierry.onkelinx at inbo.be> A: "Massimo Bressan" <massimo.bressan at arpa.veneto.it> Cc: "r-help" <r-help at r-project.org> Inviato: Gioved?, 9 novembre 2017 15:17:31 Oggetto: Re: [R] weighted average grouped by variables Dear Massimo, It seems straightforward to use weighted.mean() in a dplyr context library(dplyr) mydf %>% group_by(date_time,...

Hello, Try the following. icol <- which(grepl("flag", names(mydf))) mydf[icol] <- lapply(mydf[icol], function(x){ is.na(x) <- x == 0 x }) mydf # A A_flag B B_flag #1 8 10 5 12 #2 7 NA 6 9 #3 10 1 2 NA #4 1 NA 1 5 #5 5 2 0 NA Hope this helps, Rui Barradas On 11/22/2017 10:34 AM, Massimo Bressan

...> to create the "intermediate" variable called "speed_vehicles" and with the use > of the function weighted.mean() > > any hints for a different approach much appreciated > > thanks > > > > Da: "Massimo Bressan" <massimo.bressan at arpa.veneto.it> > A: "r-help" <r-help at r-project.org> > Inviato: Gioved?, 9 novembre 2017 12:20:52 > Oggetto: weighted average grouped by variables > > hi all > > I have this dataframe (created as a reproducible example) > > mydf<-structure(list(date_time = st...

...0 Cheers, Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) On Wed, Nov 22, 2017 at 2:34 AM, Massimo Bressan < massimo.bressan at arpa.veneto.it> wrote: > > > Given this data frame (a simplified, essential reproducible example) > > > > > A<-c(8,7,10,1,5) > > A_flag<-c(10,0,1,0,2) > > B<-c(5,6,2,1,0) > > B_flag<-c(12,9,0,5,0) > > > > > mydf<-data.frame(A, A_flag,...

I have these two dataframes in which 'id' is the key field > tabella id nome 1 1 PIEMONTE 2 2 VALLED'AOSTA 3 3 LOMBARDIA 4 4 TRENTINO 5 5 VENETO 6 6 FRIULI AND > tab id nome 1 1 PIEMONTE 2 2 VALLED'AOSTA 3 3 LOMBARDIA 4 4 TRENTINO 5 25 CAMPANIA 6 28 LAZIO Is there any R-one-command able to select the only rows of tab that are not present in tabella, matching the two tables...

...t; variable called "speed_vehicles" and with the use >> of the function weighted.mean() >> >> any hints for a different approach much appreciated >> >> thanks >> >> >> >> Da: "Massimo Bressan" <massimo.bressan at arpa.veneto.it> >> A: "r-help" <r-help at r-project.org> >> Inviato: Gioved?, 9 novembre 2017 12:20:52 >> Oggetto: weighted average grouped by variables >> >> hi all >> >> I have this dataframe (created as a reproducible example) >> >>...

...Does anyone help me in this seeking without finding? In particular, does anyone know of a driver which present me the ext3 filesystem as a device? (What nice tool it would be) regards *g <jc@nexusat.it> Giovanni Costagliola [IT Senior Consultant] site :\ www.nexusat.it Viale Vittorio Veneto, 24 - 20124 Milano tel/fax:\ 02 454 770 02/03/04

Given the following chart: i.e. a boxplot with a grid boxplot(x~y) grid(nx=NA,ny=NULL) my question: how to avoid the overlapping of boxes (and whiskers) by grid lines? thank you for any help pointing me in the right direction max -- View this message in context: http://r.789695.n4.nabble.com/how-to-avoid-grid-overlapping-in-a-boxplot-tp4495955p4495955.html Sent from the R help mailing list

...se ticket_lifetime = 36000 renew_lifetime = 36000 forwardable = true krb4_convert = false } [realms] FQDN_DOMAIN = { kdc = fqdn_server1 admin_server = fqdn_server1 default_domain = FQDN_DOMAIN } [domain_realm] .arpa.veneto.it = FQDN_DOMAIN arpa.veneto.it = FQDN_DOMAIN /etc/nsswitch.conf passwd: files winbind group: files winbind net ads join was fine ... and here we are... wbinfo -u and -g are fine but... wbinfo -i domain_username fails with this error : failed to call wbcGetpwnam:...

Hi *Massimo,* *Try this.* *a <- mydf==0mydf[a] <- NAHTHEK* On Wed, Nov 22, 2017 at 5:34 AM, Massimo Bressan < massimo.bressan at arpa.veneto.it> wrote: > > > Given this data frame (a simplified, essential reproducible example) > > > > > A<-c(8,7,10,1,5) > > A_flag<-c(10,0,1,0,2) > > B<-c(5,6,2,1,0) > > B_flag<-c(12,9,0,5,0) > > > > > mydf<-data.frame(A, A_flag,...

...for specific columns i believe. EK On Wed, Nov 22, 2017 at 8:37 AM, Ek Esawi <esawiek at gmail.com> wrote: > Hi *Massimo,* > > *Try this.* > > *a <- mydf==0mydf[a] <- NAHTHEK* > > On Wed, Nov 22, 2017 at 5:34 AM, Massimo Bressan < > massimo.bressan at arpa.veneto.it> wrote: > >> >> >> Given this data frame (a simplified, essential reproducible example) >> >> >> >> >> A<-c(8,7,10,1,5) >> >> A_flag<-c(10,0,1,0,2) >> >> B<-c(5,6,2,1,0) >> >> B_flag<-c(12,9,0,5...

...the need to create the "intermediate" variable called "speed_vehicles" and with the use of the function weighted.mean() > > any hints for a different approach much appreciated > > thanks > > > > Da: "Massimo Bressan" <massimo.bressan at arpa.veneto.it> > A: "r-help" <r-help at r-project.org> > Inviato: Gioved?, 9 novembre 2017 12:20:52 > Oggetto: weighted average grouped by variables > > hi all > > I have this dataframe (created as a reproducible example) > > mydf<-structure(list(date_time = st...

Given this example mean.values<-colMeans(VADeaths) mean.values<-apply(VADeaths, 2, mean) median.values<-apply(VADeaths, 2, median) dotchart(VADeaths, gdata=mean.values) dotchart(VADeaths, gdata=median.values) is it possible to ?combine? a single dotchart showing both the mean and the median for each single group (with different plotting symbols)? ?is it that possible with the use of