search for: 1976

dear r-helpers i've got a table that in extracts looks like this: V1 V2 V3 V4 V5 1 01/01/1975 00:00:00 125.837 3.691 296.618 2 01/01/1975 01:00:00 124.799 3.679 281.307 3 01/01/1975 02:00:00 111.607 3.536 281.307 4 02/24/1976 11:00:00 21.602 2.555 93.893 5 02/24/1976 12:00:00 27.804 2.623 93.893 6 02/24/1976 13:00:00 26.105 2.604 114.716 7 10/18/1977 00:00:00 18.850 2.525 330.203 8 10/18/1977 01:00:00 21.561 2.555 320.465 9 10/18/1977 02:00:00 21.941 2.559 314.505 10 11/05/1978 01:00:00 24.981 2.592 310.46...

...earch terms for what I want to do. If I have a df like this: a <- data.frame(name=c(rep('a',10),rep('b',15)),year=c(1971:1980,1971:1985),amount=1:25) name year amount 1 a 1971 1 2 a 1972 2 3 a 1973 3 4 a 1974 4 5 a 1975 5 6 a 1976 6 7 a 1977 7 8 a 1978 8 9 a 1979 9 10 a 1980 10 11 b 1971 11 12 b 1972 12 13 b 1973 13 14 b 1974 14 15 b 1975 15 16 b 1976 16 17 b 1977 17 18 b 1978 18 19 b 1979 19 20 b 1980 20 21 b 1981...

Greetings, I would like to subset observations in a time series using xts, after converting from ts to xts. X=ts(1:100, frequency=12, start=c(1976)) X2=as.xts(X) X2["1984"] The output: Feb 1984 98 Mar 1984 99 Apr 1984 100 What happened to January? The index is always one month off, with X2["1976-01"] giving me Feb 1976. Should I set the time using something else than ts? I know there is the window function, but...

I have a data set something like this: "YYYY", "Value" 1972 , 117 1984 , 73 1969 , 92 1976 , 113 1999 , 80 1996 , 78 1976 , 98 1984 , 106 1976 , 99 it could be created with: > dafSamp <- data.frame(cbind(c(1972,1984,1969,1976,1999,1996,1976,1984,1976),c(117,73,92,113,80,78,98,106,99))) The real dataset is of cause much larger, app. 100.000 samples I need to adjust...

https://bugzilla.mindrot.org/show_bug.cgi?id=1976 Bug #: 1976 Summary: sshd leaks stderr fd when run as 'sshd -D' Classification: Unclassified Product: Portable OpenSSH Version: 5.9p1 Platform: All OS/Version: All Status: NEW Severity: normal...

Hi I have a problem with substitutions involving named backreferences. I have a vector American.dates: > American.dates [1] "5/15/1976" "2.15.1970" "1.9.2006" which I want to change into British.dates: > British.dates [1] "15/5/1976" "15/2/1970" "9/1/2006" I know I can do it like this: British.dates<-sub("(\\d{1,2})\\D(\\d{1,2})\\D", "\\2/\\1/", A...

Dear R-users I have some doubts about with converting dates... e.g. dates data 23/12/1975 0.8678 03/01/1976 0.8736 28/01/1976 0.765 13/03/1976 0,9654 ... I think that converting these dates can easily my plots... is there a R function to convert these dates to a julian dates and so plot that variables?? The help files as.POSIXlt, POSIXt and others don't aswer my doubts... DateTimeClass conv...

CentOS Errata and Security Advisory 2014:1976 Important Upstream details at : https://rhn.redhat.com/errata/RHSA-2014-1976.html The following updated files have been uploaded and are currently syncing to the mirrors: ( sha256sum Filename ) x86_64: 42d0d9d8c43646be6bb73af2645e7e7d00613ffbd7281a167e938e13254d838d rpm-4.11.1-18.el7_0.x86_64...

CentOS Errata and Enhancement Advisory 2016:1976 Upstream details at : https://rhn.redhat.com/errata/RHEA-2016-1976.html The following updated files have been uploaded and are currently syncing to the mirrors: ( sha256sum Filename ) x86_64: 84821ca0d09c679551f6671f2227b35501e9ecfc94658a6e1221acdfa12b6939 kmod-bnxt_en-1.2.0-2.el7_2.x86_64.r...

https://bugzilla.mindrot.org/show_bug.cgi?id=1976 Darren Tucker <dtucker at zip.com.au> changed: What |Removed |Added ---------------------------------------------------------------------------- CC| |dtucker at zip.com.au Blocks|...

...333333 172 Apr 1975 8.5000000 173 May 1975 0.0000000 174 Jun 1975 0.0000000 175 Jul 1975 0.0000000 176 Aug 1975 0.0000000 177 Sep 1975 0.0000000 178 Oct 1975 1.3333333 179 Nov 1975 2.6666667 180 Dec 1975 2.6666667 181 Jan 1976 7.0000000 182 Feb 1976 4.0000000 183 Mar 1976 8.6666667 184 Apr 1976 2.3333333 185 May 1976 1.0000000 186 Jun 1976 0.0000000 187 Jul 1976 0.0000000 188 Aug 1976 0.0000000 189 Sep 1976 0.0000000 190 Oct 1976 0.0000000 191 No...

https://bugzilla.mindrot.org/show_bug.cgi?id=1976 Damien Miller <djm at mindrot.org> changed: What |Removed |Added ---------------------------------------------------------------------------- Status|RESOLVED |CLOSED --- Comment #3 from Damien Miller <djm at mindrot.org&g...

...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 0.317307692 1981 0.673076923 1985 0.730769231 1986 0.057692308 1957 0.073394495 1966 0.742574257 1961 0.08256880...

...2.77 6 Walleye 1970 2.56 7 Walleye 1970 2.64 8 Walleye 1970 2.22 9 Walleye 1970 2.56 10 Walleye 1970 2.40 11 Walleye 1975 1.59 12 Walleye 1975 1.53 13 Walleye 1975 2.16 14 Walleye 1975 1.60 15 Walleye 1975 2.16 16 Walleye 1976 2.03 17 Walleye 1976 1.97 18 Walleye 1976 1.95 19 Walleye 1976 2.36 20 Walleye 1976 1.82 21 Walleye 1976 1.99 22 Walleye 1977 1.06 23 Walleye 1977 2.00 24 Walleye 1977 1.97 25 Walleye 1977 2.00 26 Walleye 1977 1.99 27 Wall...

I have 2 zoo objects - 1) Interest rate spread between 10-YR-US-Treasury and 2-YR-US-Treasury (object name = sprd) 2) S&P 500 index (object name = spy) > str(spy) ?zoo? series from 1976-06-01 to 2011-03-31 Data: num [1:8791] 99.8 100.2 100.1 99.2 98.6 ... Index: Class 'Date' num [1:8791] 2343 2344 2345 2346 2349 ... > str(sprd) ?zoo? series from 1976-06-01 to 2011-03-31 Data: num [1:9088] 0.68 0.71 0.7 0.77 0.79 0.79 0.82 0.86 0.83 0.83 ... Index: Class 'D...

...can be modelled as an ARMA process. The parameters to both the impulse response function and the ARMA noisy component need to be estimated simultaneously. I have got as far as being able to compute the residual noise, a_t. However, I am slightly confused about what to do next. Reading Box-Jenkins, 1976 (pp. 391) they state the following "....However, it seems simplest to work with a standard nonlinear least squares computer program in which the derivatives are determined numerically and an option is available of 'constrained iteration' to prevent instability. It is then only necessa...

...eb 1975 26.000000 903 Mar 1975 72.000000 904 Apr 1975 37.000000 905 May 1975 67.000000 906 Jun 1975 17.000000 907 Jul 1975 26.000000 908 Aug 1975 13.000000 909 Sep 1975 120.000000 910 Oct 1975 21.000000 911 Nov 1975 64.000000 912 Dec 1975 28.000000 913 Jan 1976 15.000000 914 Feb 1976 21.000000 915 Mar 1976 9.000000 916 Apr 1976 9.000000 917 May 1976 22.000000 918 Jun 1976 8.000000 919 Jul 1976 25.000000 920 Aug 1976 13.000000 921 Sep 1976 107.000000 922 Oct 1976 95.000000 923 Nov 1976 82.000000 924 Dec 1976 6...

...;- dv[country.to.map][(year == 1980)[country.to.map]] but it does not give me what I need. I can't figure out where my error is, however. Thanks, Jens > Test.dataset2[1:40,] country.to.map dv year 1 1936 NA 1973 2 1936 NA 1974 3 1936 NA 1975 4 1936 NA 1976 5 1936 NA 1977 6 1936 NA 1978 7 1936 NA 1979 8 1936 NA 1980 9 1936 NA 1981 10 1936 NA 1982 11 1936 NA 1983 12 1936 NA 1984 13 1936 NA 1985 14 1936 NA 1986 15 1936 NA 1987 16 1936 NA 1988 17...

I am an R novice trying to figure out plot(). Specifically, I am trying to plot the values of a numeric variable V for a set of years (1970, 1974, 1976, 1978, 1980). How do I get R to label the years I am plotting on the x-axis rather then some general levels (1970, 1975, 1980.) Using as.character(year) doesn't seem to help, and using as.factor(year) generates steps insteads of dots. Help will be most appreciated. I have listed the code I...

...9;m looking at factors affecting fish annual catch rates (ie. CPUE) over 30 years. Two of the factors I'm using are sea surface temperature and sea surface temperature anomaly. A small sample of my data is below: CPUE Year Vessel_ID Base_Port Boat_Lgth Planing SST Anomaly 0.127 1976 2 BOI 40 Planing 19.4 -0.308 0.059 1976 30 BOI 40 Displacement 19.4 -0.308 0.033333 1977 46 BOI 45 Displacement 18.5 -1.008 0.169231 1977 2 BOI 40 Planing 18.5 -1.008 0.044118 1977 19 BOI 34 Planing 18.5 -1.008 0.114286 1977 29 WHANGAROA 42 Displacem...