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[![R commander table of statistics][1]][1]
Hello,
Is there any solution of how I choose all 'mean', 'median', 'SD', etc in statistics? Otherwise I will have to run all of them individually which is a pain.
In R commander, go to >statistics > summaries > table of statistics.
Thank you in advance.
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Looking for other way than ifelse.
How to create NewColumn like this:
As displayed in your picture, you want to paste together two columns. Assuming your dataframe is called df, you can do:
df$NewColumn <- paste(df$Column2,"",df$Column1)
Which will get you the outcome in the picture.
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For the auto.arima function in forecast package of R, is there a way to let the function omit a model of arima(0,0,0), as I simply assume there must be some correlation within the dataset.
You could try looking at the help for the function
auto.arima(). Check the arguments start.p, start.q,
d,max.d
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I have a vector c("A","B","C",......) and a list list(c("A"),c("B","C"))
I want to get a vector c(1,2,2....)
Is there any function in some basic packages?
we can use merge
merge(stack(setNames(lst, seq_along(lst))), data.frame(values=v1))$ind
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Data sample is below: I have 3million rows.
Date,id,type,qty
9/30/14,1,’A’,10
9/30/14,2,’Z’,12
9/30/14,3,’B’,15
9/30/14,1,’B’,20
9/30/14,1,’Z’,20
9/30/14,1,’A’,20
9/30/14,2,’B’,20
9/30/14,3,’B’,5
9/30/14,3,’A’,40
I want result as below:
Date,id,type,Qty
9/30/14,1,A,20
9/30/14,1,B,20
9/30/14,2,B,20
9/30/14,3,B,5
9/30/14,3,’A’,40
Logic is below: On the same date, pick the latest qty (from the later record) for each id and type.Ignore types y and Z.
DT[,.(Qty=last(qty)),by=.(Date,id,type)][type!='Z'][order(id)]
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Given the following setup:
area.factor <- cut(state.x77[,"Area"],
breaks=quantile(state.x77[,"Area"],c(0,.25,.75,1)),
labels=c("small","medium","large"),
include.lowest=TRUE)
state <- data.frame(pop=state.x77[,"Population"],
inc=state.x77[,"Income"],
area=area.factor,
region=state.region)
pop.area.region <- with(state,ftable(pop,area,region))
The following two lines of code are show the same result:
head(ftable(prop.table(pop.area.region,margin=2)))
head(prop.table(pop.area.region,margin=2))
I don't understand what effect adding ftable has, if any, in:
head(ftable(prop.table(pop.area.region,margin=2)))
Adding ftable witll try to coerce the pop.area.region to a ftable class. Here
No need to add ftable since pop.area.region is already an ftable.
identical(ftable(prop.table(pop.area.region,margin=2)),
prop.table(pop.area.region,margin=2))
TRUE