search for: 1965

Dear Community, say, I have an annual ts() object sampled from 1960 to 1969 like: ta<-ts(1:10, start=1960, frequency=1) How can I extract the value from the year 1965? I mean, not by: ta[6] but by something like: ta[1965] where I'm directly referring to the year of the observation? Thank you in advance! -- View this message in context: http://r.789695.n4.nabble.com/simple-ts-object-question-tp2527085p2527085.html Sent from the R help mailing list ar...

...43301 EA 1964 3 0.71870974684 EA 1964 4 1.40866676067 EA 1964 5 3.76870977450 EA 1964 6 5.01700008833 EA 1964 7 2.361935510216 EA 1964 8 1.352903211599 EA 1964 9 1.417000012982 EA 1964 10 1.311935514365 EA 1964 11 1.233000015748 EA 1964 12 1.1570968554 EA 1965 1 0.92677421937 EA 1965 2 0.82428573320 EA 1965 3 0.84419354703 EA 1965 4 1.02833336086 EA 1965 5 2.13129037469 EA 1965 6 4.02933338852 EA 1965 7 3.769677410235 EA 1965 8 2.089032311618 EA 1965 9 2.293000013001 EA 1965 10 1.997741914384 EA 1965 11 1.0...

...o un data frame com puesto por 3 columnas: ID: Identificador individuo FECHA: Fecha de actuación, en formato dd/mm/yy VALOR: Score numérico ¿Hay algún paquete para obtener aquellos grupos ID del data frame que tengan igual par (FECHA, VALOR)? Ejemplo: ID FECHA VALOR 1 01/04/1965 25578 2 01/09/1988 23456 3 01/04/2004 76578 4 01/04/1965 25578 5 01/05/1992 33724 6 01/04/1965 65789 7 01/09/1988 23456 El resultado en este caso sería el data frame (ó la matriz): 1 4 2 7 Muchas gracias por vuestra ayuda. [[alternative HTML version delete...

...13 1953 0 213 1953 0 213 1953 0 213 1953 0 213 1953 0 213 1953 0 213 1953 0 213 1954 0 213 1954 0 213 1954 0 213 1954 0 213 1954 0 213 1954 0 213 1954 0 213 1954 0 213 1954 0 213 1954 0 213 1954 0 213 1955 0 213 1955 0 234 1953 0 234 1953 0 234 1953 0 234 1953 0 234 1953 0 234 1958 0 234 1958 0 234 1965 0 234 1965 0 234 1965 0 249 1952 0 249 1952 0 -- View this message in context: http://www.nabble.com/Doing-a-Task-Without-Using-a-For-Loop-tp19974078p19974078.html Sent from the R help mailing list archive at Nabble.com.

https://bugzilla.mindrot.org/show_bug.cgi?id=1965 Bug #: 1965 Summary: IPQoS option ignored for AF_INET since 5.9p1-1 Classification: Unclassified Product: Portable OpenSSH Version: 5.9p1 Platform: All URL: http://bugs.debian.org/643312 OS/Version: Linux...

Hi all: I'm struggling with getting my data re-formatted using functions in reshape/reshape2 to get from: 1957 0.862500000 1958 0.750000000 1959 0.300000000 1960 0.287500000 1963 0.675000000 1964 0.937500000 1965 0.025000000 1966 0.387500000 1969 0.087500000 1970 0.275000000 1973 0.500000000 1974 0.362500000 1976 0.925000000 1978 0.712500000 1979 0.337500000 1980 0.700000000 1981 0.425000000 1982 0.212500000 1983 0.312500000 1986 0.237500000 1958 0.643564356 1963 0.250000000 1968 0.211538462 1976 0.31730769...

...thickness x2 <- log(x2) id time status sex age year thickness ulcer 1 1 10 0 1 76 1972 6.76 1 2 2 30 0 1 56 1968 0.65 0 3 3 35 0 1 41 1977 1.34 0 4 4 99 0 0 71 1968 2.90 0 5 5 185 1 1 52 1965 12.08 1 6 6 204 1 1 28 1971 4.84 1 7 7 210 1 1 77 1972 5.16 1 8 8 232 0 0 60 1974 3.22 1 9 9 232 1 1 49 1968 12.88 1 10 10 279 1 0 68 1971 7.41 1 11 11 295 1 0 53 1969...

Hello all, I have created a barplot that shows change in hardwood/softwood density from 1965 to 2005 in 5 year periods (1965,1970, etc). I would like to have an X-axis where the labels for the years line up after every two bars in the plot (there is one bar for hardwood, and another for softwood). Below is my script: density<-read.table("F:\\Megan\\Vtest.csv", header=TRUE, se...

CentOS Errata and Bugfix Advisory 2014:1965 Upstream details at : https://rhn.redhat.com/errata/RHBA-2014-1965.html The following updated files have been uploaded and are currently syncing to the mirrors: ( sha256sum Filename ) i386: b24cd2fa431a60f77d4aef8a6fa8b15a7517637b39800113b9b50e6c87cc72b9 curl-7.19.7-40.el6_6.3.i686.rpm 68934...

CentOS Errata and Bugfix Advisory 2015:1965 Upstream details at : https://rhn.redhat.com/errata/RHBA-2015-1965.html The following updated files have been uploaded and are currently syncing to the mirrors: ( sha256sum Filename ) x86_64: 9fe13906ee4195832ef273a15ad546296b7486eb3df1dd73b3727e8646659f70 libipa_hbac-1.12.2-58.el7_1.18.i686...

CentOS Errata and Security Advisory 2018:1965 Important Upstream details at : https://access.redhat.com/errata/RHSA-2018:1965 The following updated files have been uploaded and are currently syncing to the mirrors: ( sha256sum Filename ) x86_64: 105bcabf2bdc2959555242f189208ed634299340d1da81bb060280dab6c75d13 kernel-3.10.0-862.6.3.el7.x8...

...666667 40 Apr 1964 25.5000000 41 May 1964 7.5000000 42 Jun 1964 0.0000000 43 Jul 1964 0.0000000 44 Aug 1964 0.0000000 45 Sep 1964 0.0000000 46 Oct 1964 0.0000000 47 Nov 1964 2.3333333 48 Dec 1964 14.0000000 49 Jan 1965 13.6666667 50 Feb 1965 20.3333333 51 Mar 1965 42.3333333 52 Apr 1965 15.3333333 53 May 1965 7.0000000 54 Jun 1965 0.0000000 55 Jul 1965 0.0000000 56 Aug 1965 0.0000000 57 Sep 1965 0.0000000 58 Oct 1965 0.0000000 59 No...

Can somebody tell me why the following RegExp doesn''t work for date validation in Rails... It validates fine in RadRails -- using REgExp panel. Intended format: (mm/dd/yyyy): %r{^(0[1-9]|1[012])(-|/)(0[1-9]|[12][0-9]|3[01])(-|/)(19|20)([0-9][0-9])$} If i try the following, it works in Rails: %r{(0[1-9]|1[012])(-|/)(0[1-9]|[12][0-9]|3[01])} When I add the last piece, it

...enerate a new data set based on some inclusionary (exclusionary) criteria. Here is an example of the type of data that I have. df<-data.frame(cbind("country"=c(rep("Angola", 9), rep("Burundi", 7), rep("Chad", 13)), "year"=c(1975:1983, 1989:1995, 1965:1977)), "war"=c(rep(1,2), rep(0,5), rep(1,2), rep(1,2), rep(0,2), rep(1,3), rep(1,4), rep(0,6), rep(1,3))) > df country year war 1 Angola 1975 1 2 Angola 1976 1 3 Angola 1977 0 4 Angola 1978 0 5 Angola 1979 0 6 Angola 1980 0 7 Angola 1981 0 8 Angola 198...

Hola Francisco y Carlos, Quizas lo siguiente funcione para 2, 3 o mas IDs con FECHA y VALOR comun (aqui el maximo es 3): d <- data.frame(ID = 1:8, FECHA = c("01/04/1965", "01/09/1988", "01/04/2004", "01/04/1965", "01/05/1992", "01/04/1965", "01/09/1988", "01/09/1988"), VALOR = c(25578, 23456, 76578, 25578, 33724, 65789, 23456, 23456)) d$comb <- with(d, paste0(FECHA, "_", VALO...

https://bugzilla.mindrot.org/show_bug.cgi?id=1965 Damien Miller <djm at mindrot.org> changed: What |Removed |Added ---------------------------------------------------------------------------- Status|RESOLVED |CLOSED --- Comment #2 from Damien Miller <djm at mindrot.org&g...

...call to plot ... but isn't this necessary, especially to set limits for the plot? The second call to plot(), in conjunction with by(), seems to be natural enough, and, IMHO, seems to be readable and succinct. data<- read.table(textConnection("Year Quarter Consumption 1965 1 874 1965 2 679 1965 3 616 1965 4 816 1966 1 866 1966 2 700 1966 3 603 1966 4 814 1967 1 843 1967 2 719 1967 3 594 1967 4 819 1...

...tal: Invalid configuration in /etc/dovecot.conf After the system came up, I tried to start dovecot manually. Turns out that there was an invalid PID in /var/run/dovecot/master.pid ----- [root at mykiss5 mth]# service dovecot start Starting Dovecot Imap: Error: Dovecot is already running with PID 1965 (read from /var/run/dovecot/master.pid) Fatal: Invalid configuration in /etc/dovecot.conf [FAILED] [root at mykiss5 mth]# ps 1965 PID TTY STAT TIME COMMAND [root at mykiss5 mth]# rm /var/run/dovecot/master.pid rm: remove regular fi...

I have a dataset like this: sites years Var1 Var2 1 1960 505 3.013833 1 1961 533 4.118784 1 1962 609 14.96386 1 1963 465 -3.74409 1 1964 837 41.70164 1 1965 727 29.53478 2 1960 493 3.269235 2 1961 535 5.386015 2 1962 608 16.26244 2 1963 469 -2.09736 2 1964 830 42.01942 2 1965 715 29.92867 3 1960 489 5.630015 3 1961 540 8.694733 3 1962 615 19.60908 3 1963 480 1.666236 3 1964 83...

...7 1:17 PM To: r-help at r-project.org Subject: [R] Help with reshape/reshape2 needed Hi all: I'm struggling with getting my data re-formatted using functions in reshape/reshape2 to get from: 1957 0.862500000 1958 0.750000000 1959 0.300000000 1960 0.287500000 1963 0.675000000 1964 0.937500000 1965 0.025000000 1966 0.387500000 1969 0.087500000 1970 0.275000000 1973 0.500000000 1974 0.362500000 1976 0.925000000 1978 0.712500000 1979 0.337500000 1980 0.700000000 1981 0.425000000 1982 0.212500000 1983 0.312500000 1986 0.237500000 1958 0.643564356 1963 0.250000000 1968 0.211538462 1976 0.31730769...