a1+beta2+beta3) ->
# y=beta0+beta1*t1+beta2*t2+beta3*t3-(beta1+beta2+beta3)*t4
# y = beta0'+beta1'*(t1-t4)+beta2'*(t2-t4)+beta3'*(t3-t4)
data$t1 <- data$t1-data$t4
data$t2 <- data$t2-data$t4
data$t3 <- data$t3-data$t4
model_reduced <- lm(y~t0+t1+t2+t3+0,da
predict(mo, iris_test[, 1:4],type="anomaly_score")
Anyone knows how to predict "normalised (with respect to sample size)"
anomaly scores using the solitude package for R?
Thanks in advance!
Johan
--
Johan Lassen
"In the cities people live in time -
in the mountains people liv
and so on).
Thanks in advance!
--
Johan Lassen
"In the cities people live in time -
in the mountains people live in space" (Budistisk munk).
[[alternative HTML version deleted]]
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Dear community . I would like to connect r to libre office base. Does
anyone know if and how this can be done? I think of the pendant to rodbc
for libre office. I am using windows 7.
Thanks in advance and best regards johan
[[alternative HTML version deleted]]
> If you succeed we will check R then.
>
> Caveman
>
>
> On Sun, May 16, 2010 at 11:48 AM, Johan Lassen
> wrote:
> > Dear R-community,
> >
> > After repeating the sqlSave-command 3 times on a dataframe (of size 13149
> > rows * 5 columns) to my M
.csv",
sep =";", header = T)*
**
*sqlSave(channel,eksport_transp_acc_2,
"transp_acc_scenarier",append = T,fast = F,rownames = F)
*
--
Johan Lassen
"In the cities people live in time -
in the mountains people live in space"
[[alternative HTML version d
gt; The problem probably lies in the source-ing part: look at
>
> getwd()
> setwd()
>
> HTH,
> Giovanni
>
> > Date: Tue, 20 Oct 2009 13:00:02 +0200
> > From: Johan Lassen
> > Sender: r-help-boun...@r-project.org
> > Precedence: list
> > DKIM-Signature
#x27;matrix.r', local = T)
source('local_value.r', local = T)
source('fordeling.r', local = T)
source('fordeling_manuel.r', local = T)
source('local_ret.r', local = T)
source('Ax=b.r', local = T)
source(&
Dear R-user community,
I need to solve a problem related to river management. The task is to
calculate the distance from specified points in a river to the outlet of the
river. The river is defined by a database (here called "M"):
LinkID |NodeID1 | NodeID2 |Distout |Length
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