Displaying 7 results from an estimated 7 matches for "1639l".
Did you mean:
1639
2017 Oct 06
2
Using response variable in interaction as explanatory variable in glm crashes R
...). I also tried with R-devel;
same result.
tab <- structure(list(dob_day = c(FALSE, FALSE, FALSE, FALSE, TRUE,
TRUE, TRUE, TRUE), dob_mon = c(FALSE, FALSE, TRUE, TRUE, FALSE,
FALSE, TRUE, TRUE), dob_year = c(FALSE, TRUE, FALSE, TRUE, FALSE,
TRUE, FALSE, TRUE), n = c(1489634L, 17491L, 134985L, 1639L, 47892L,
611L, 4365L, 750L), pred1 = c(1488301, 18187, 135605, 1657, 48547,
593, 4423, 54)), .Names = c("dob_day", "dob_mon", "dob_year",
"n", "pred1"), row.names = c(NA, -8L), class = "data.frame")
m <- glm(dob_mon ~ dob_day*dob_mon,...
2017 Oct 06
0
Using response variable in interaction as explanatory variable in glm crashes R
...l; same result.
>
>
> tab <- structure(list(dob_day = c(FALSE, FALSE, FALSE, FALSE, TRUE,
> TRUE, TRUE, TRUE), dob_mon = c(FALSE, FALSE, TRUE, TRUE, FALSE,
> FALSE, TRUE, TRUE), dob_year = c(FALSE, TRUE, FALSE, TRUE, FALSE,
> TRUE, FALSE, TRUE), n = c(1489634L, 17491L, 134985L, 1639L, 47892L,
> 611L, 4365L, 750L), pred1 = c(1488301, 18187, 135605, 1657, 48547,
> 593, 4423, 54)), .Names = c("dob_day", "dob_mon", "dob_year",
> "n", "pred1"), row.names = c(NA, -8L), class = "data.frame")
>
> m <- glm(dob...
2018 Jun 01
0
Regroup and create new dataframe
...t;, "Target", "Target", "Target", "Target",
"3M", "3M", "3M", "3M", "3M", "Avery", "Avery", "Avery", "Avery",
"Avery"), Sales = c(1915L, 1937L, 1285L, 1828L, 1639L, 1517L,
1732L, 1133L, 1652L, 1699L, 1453L, 1711L, 1924L, 1252L, 1456L
), Region = c("North", "North", "North", "North", "North", "South",
"South", "South", "South", "South", "West", "...
2017 Oct 09
1
Using response variable in interaction as explanatory variable in glm crashes R
...t;- structure(list(dob_day = c(FALSE, FALSE, FALSE,
>> FALSE, TRUE, TRUE, TRUE, TRUE), dob_mon = c(FALSE, FALSE,
>> TRUE, TRUE, FALSE, FALSE, TRUE, TRUE), dob_year =
>> c(FALSE, TRUE, FALSE, TRUE, FALSE, TRUE, FALSE, TRUE), n
>> = c(1489634L, 17491L, 134985L, 1639L, 47892L, 611L,
>> 4365L, 750L), pred1 = c(1488301, 18187, 135605, 1657,
>> 48547, 593, 4423, 54)), .Names = c("dob_day", "dob_mon",
>> "dob_year", "n", "pred1"), row.names = c(NA, -8L), class
>> = "data.f...
2018 Jun 01
0
Regroup and create new dataframe
...t;, "Target", "Target", "Target", "Target",
"3M", "3M", "3M", "3M", "3M", "Avery", "Avery", "Avery", "Avery",
"Avery"), Sales = c(1915L, 1937L, 1285L, 1828L, 1639L, 1517L,
1732L, 1133L, 1652L, 1699L, 1453L, 1711L, 1924L, 1252L, 1456L
), Region = c("North", "North", "North", "North", "North", "South",
"South", "South", "South", "South", "West", "...
2018 Jun 01
4
Regroup and create new dataframe
Hello folks,
I have a big project to work on and the dataset is classified so I am just
going to use my own example so everyone can understand what I am targeting.
Let's take Target as an example: We consider three brands of tape: Target
brand, 3M and Avery. The original data frame has 4 columns: Year of Record,
Product_Name(which contains three brands of tape), Sales, and Region. I
want to
2012 Jul 10
2
estimation of NA by predict command
...20L,
3841L, 3962L, 44L, 176L, 308L, 440L, 572L, 704L, 836L, 968L,
1100L, 1232L, 1364L, 1496L, 1628L, 1760L, 1892L, 2024L, 2156L,
2288L, 2420L, 2552L, 2684L, 2816L, 2948L, 3080L, 3212L, 3344L,
3476L, 3608L, 3731L, 3852L, 55L, 187L, 319L, 451L, 583L, 715L,
847L, 979L, 1111L, 1243L, 1375L, 1507L, 1639L, 1771L, 1903L,
2035L, 2167L, 2299L, 2431L, 2563L, 2695L, 2827L, 2959L, 3091L,
3223L, 3355L, 3487L, 3619L, 3742L, 3863L, 3973L, 66L, 198L, 330L,
462L, 594L, 726L, 858L, 990L, 1122L, 1254L, 1386L, 1518L, 1650L,
1782L, 1914L, 2046L, 2178L, 2310L, 2442L, 2574L, 2706L, 2838L,
2970L, 3102L, 3234L, 3...