Displaying 7 results from an estimated 7 matches for "agg2".
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2011 Jan 26
1
aggregate(as.formula("some formula"), data, function) error when called from in a function
...m with aggregate.formula when I call it in a function and the function is converted from a string in the funtion
I think my problem may also only occur when the left hand side of the formula is cbind(...)
Here is example code that generates a dataset and then the error.
The first function "agg2" fails
> agg2(FALSE)
do agg 2
Error in m[[2L]][[2L]] : object of type 'symbol' is not subsettable
but, if I run it have it return what it is going to pass to aggregate and pass it myself, it works. I can use this for a workaround (agg3) where one function does this itself.
I'...
2008 Mar 29
3
Generating maps in R
Greetings!
I am trying plot some data on a map in R. Here's the scenario.
I have a variable called probworkinghealthy which contains a predicted
probability of employment for every individual in my sample (about
100,000 observations).
I have another variable, called a001ter, which contains the subject of
residency in the Russian Federation (akin to a US state) for every
individual in the
2007 Dec 16
2
question about the aggregate function with respect to order of levels of grouping elements
...actor(months(df[,1]))
levels(fmonth) # factor() automatically generates the correct order of
levels.
[1] "Jan" "Feb" "Mar" "Apr" "May" "Jun" "Jul" "Aug" "Sep" "Oct" "Nov" "Dec"
agg2=aggregate(df[,2],list(year=years(df[,1]),month=fmonth),sum)
levels(agg2$month) # even if a factor with levels in the correct order is
supplied, aggregate(), sortsthe levels by alphabet regardless.
[1] "Apr" "Aug" "Dec" "Feb" "Jan" "Jul" &...
2012 May 08
2
How to deal with a dataframe within a dataframe?
Hello all,
I am doing an aggregation where the aggregating function returns not a
single numeric value but a vector of two elements using return(c(val1,
val2)). I don't know how to access the individual columns of that
vector in the resulting dataframe though. How is this done correctly?
Thanks, robert
> agg <- aggregate(formula=df$value ~ df$quarter + df$tool,
+ FUN=cp.cpk,
2012 Jun 05
4
need descriptive help
Hi all, I'm new to using R, and apologize for simplicity of this
question.
I'm using a data set with over 60,000 observations, Two variables are
patient ID, and cost incurred by the patient. I'd like to generate
frequency/table by patient and cost IF the total cost is over 2000.
Right now I'm using:
by(x$cost, x$patient, sum)
but this generates a huge list for each patient.
2012 Sep 07
7
Producing a table with mean values
Hi All,
I have a data set wit three size classes (pico, nano and micro) and 12
different sites (Seamounts). I want to produce a table with the mean and
standard deviation values for each site.
Seamount Pico Nano Micro Total_Ch
1 Off_Mount 1 0.0691 0.24200 0.00100 0.31210
2 Off_Mount 1 0.0938 0.00521 0.02060 0.11961
3 Off_Mount 1 0.1130 0.20000 0.06620 0.37920
4 Off_Mount 1
2011 Jan 11
0
modified FAST Script from package SensoMineR for the R community - Reg
...e[, 2] = rep(colnames(don), each = I)
for (i in 1:J) {
texte[((I * (i - 1)) + 1):(I * i), 3] = paste(don[, i])
}
nbp = strsplit(summary(don, maxsum = max(lev)), ":")
agg = rep(0, J * max(lev))
for (i in 1:(J * max(lev))) {
agg[i] = nbp[[i]][2]
}
agg2 = na.omit(agg)
agg2 = as.factor(agg2)
if (graph) {
##x11()
plot(agg2, main = "Number of products per group")
}
acm_call = list(X = acm$call$X, marge.col = acm$call$marge.col,
marge.row = acm$call$marge.row, ncp = acm$call$ncp, quali =
acm$call$qua...