Displaying 6 results from an estimated 6 matches for "1970l".
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1970
2012 Jul 06
3
estimating NA values against selected slots
...L, 1969L,
1969L,
1969L, 1969L, 1969L, 1969L, 1969L, 1969L, 1969L, 1969L,
1969L,
1969L, 1969L, 1969L, 1969L, 1969L, 1969L, 1969L, 1969L,
1969L,
1969L, 1969L, 1969L, 1969L, 1969L, 1969L, 1969L, 1969L,
1969L,
1969L, 1969L, 1969L, 1969L, 1969L, 1969L, 1969L, 1969L,
1969L,
1969L, 1969L, 1969L, 1970L, 1970L, 1970L, 1970L, 1970L,
1970L,
1970L, 1970L, 1970L, 1970L, 1970L, 1970L, 1970L, 1970L,
1970L,
1970L, 1970L, 1970L, 1970L, 1970L, 1970L, 1970L, 1970L,
1970L,
1970L, 1970L, 1970L, 1970L, 1970L, 1970L, 1970L, 1970L,
1970L,
1970L, 1970L, 1970L, 1970L, 1970L, 1970L, 1970L, 1970L,
1970L,
1...
2018 Mar 25
3
Take average of previous weeks
...na.rm = T))
I crated the lag of the variable first and then attempted to compute the
average but this does not seem to to what I want. What I am doing wrong?
Any help will be appreciated. The data is below. Thank you.
Sincerely,
Milu
dput(droplevels(head(df, 10)))
structure(list(year = c(1970L, 1970L, 1970L, 1970L, 1970L, 1970L,
1970L, 1970L, 1970L, 1970L), citycode = c(1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L), month = c(1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L,
2L, 3L), week = c(1L, 2L, 3L, 4L, 5L, 5L, 6L, 7L, 8L, 9L), date =
structure(c(1L,
2L, 3L, 4L, 5L, 5L, 6L, 7L, 8L, 9L), .Label = c("19...
2018 Mar 25
0
Take average of previous weeks
...e variable first and then attempted to compute the
> average but this does not seem to to what I want. What I am doing wrong?
> Any help will be appreciated. The data is below. Thank you.
>
> Sincerely,
>
> Milu
>
> dput(droplevels(head(df, 10)))
> structure(list(year = c(1970L, 1970L, 1970L, 1970L, 1970L, 1970L,
> 1970L, 1970L, 1970L, 1970L), citycode = c(1L, 1L, 1L, 1L, 1L,
> 1L, 1L, 1L, 1L, 1L), month = c(1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L,
> 2L, 3L), week = c(1L, 2L, 3L, 4L, 5L, 5L, 6L, 7L, 8L, 9L), date =
> structure(c(1L,
> 2L, 3L, 4L, 5L, 5L, 6L, 7L, 8L,...
2018 Mar 26
1
Take average of previous weeks
...e the
> > average but this does not seem to to what I want. What I am doing wrong?
> > Any help will be appreciated. The data is below. Thank you.
> >
> > Sincerely,
> >
> > Milu
> >
> > dput(droplevels(head(df, 10)))
> > structure(list(year = c(1970L, 1970L, 1970L, 1970L, 1970L, 1970L,
> > 1970L, 1970L, 1970L, 1970L), citycode = c(1L, 1L, 1L, 1L, 1L,
> > 1L, 1L, 1L, 1L, 1L), month = c(1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L,
> > 2L, 3L), week = c(1L, 2L, 3L, 4L, 5L, 5L, 6L, 7L, 8L, 9L), date =
> > structure(c(1L,
> > 2L, 3L...
2013 Jan 29
1
starting values in glm(..., family = binomial(link = log))
...1651L, 1654L, 1660L, 1661L, 1674L, 1684L, 1687L, 1690L, 1696L,
1724L, 1730L, 1767L, 1775L, 1779L, 1780L, 1800L, 1801L, 1829L,
1837L, 1848L, 1884L, 1909L, 1916L, 1933L, 1934L, 1952L, 1970L,
1991L, 2021L, 2024L, 2029L, 2040L, 2060L, 2095L, 2112L, 2115L,
2122L, 2131L, 2145L, 2150L, 2173L, 2188L, 2189L, 2193L, 2197L,
2240L, 2251L, 2252L, 2264L,...
2012 Jul 10
2
estimation of NA by predict command
...111L, 243L,
375L, 507L, 639L, 771L, 903L, 1035L, 1167L, 1299L, 1431L, 1563L,
1695L, 1827L, 1959L, 2091L, 2223L, 2355L, 2487L, 2619L, 2751L,
2883L, 3015L, 3147L, 3279L, 3411L, 3543L, 3675L, 3798L, 3919L,
122L, 254L, 386L, 518L, 650L, 782L, 914L, 1046L, 1178L, 1310L,
1442L, 1574L, 1706L, 1838L, 1970L, 2102L, 2234L, 2366L, 2498L,
2630L, 2762L, 2894L, 3026L, 3158L, 3290L, 3422L, 3554L, 3686L,
3809L, 3930L, 4007L, 2L, 134L, 266L, 398L, 530L, 662L, 794L,
926L, 1058L, 1190L, 1322L, 1454L, 1586L, 1718L, 1850L, 1982L,
2114L, 2246L, 2378L, 2510L, 2642L, 2774L, 2906L, 3038L, 3170L,
3302L, 3434L, 35...