>From a Windows R session, I do
> object.size(rawData)
31736 bytes # from scraping a non-reproducible web address.
> saveRDS(rawData, file = "rawData.rds")
Then copy to a Linux session
> rawData <- readRDS(file = "rawData.rds")
> rawData
[1] "rawData"
> object.size(rawData)
112 bytes
> rawData
Hi Elahe,
You could modify your count_verbs function from your previous post:
* use scan to extract the tokens (words) from Message
* use your previous grepl expression to index the tokens that are verbs
* paste the verbs together to form the entries of a new column.
Here is one solution:
Dear Prof. John Fox,
Thank you for your advice. I will take care in the future post.
Best regards,
Nhat Tran
Vào Th 4, 7 thg 11, 2018 vào lúc 11:41 Fox, John đã
viết:
> Dear Thanh Tran,
>
> When you start a discussion on r-help, it's polite to keep it there so
> other people can see what t
Dear Thanh Tran,
When you start a discussion on r-help, it's polite to keep it there so other
people can see what transpires. I'm consequently cc'ing this response to the
r-help list.
The problem with your code is that anova(), as opposed to Anova(), has no type
argument.
Here's what I get wi
Dear Nhat Tran,
One more thing: You could specify the model even more compactly as
mod <- lm(KIC ~ (tem + ac + av + thick)^2)
Best,
John
> -Original Message-
> From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of Fox, John
> Sent: Tuesday, November 6, 2018 8:41 PM
> To: Th
Dear Nhat Tran,
The output that you show is unreadable and as far as I can see, the data aren't
attached, but perhaps the following will help: First, if you want Anova() to
compute type III tests, then you have to set the contrasts properly *before*
you fit the model, not after. Second, you can
Hi everyone,
I'm studying the ANOVA in R and have some questions to share. I investigate
the effects of 4 factors (temperature-3 levels, asphalt content-3 levels,
air voids-2 levels, and sample thickness-3 levels) on the hardness of
asphalt concrete in the tensile test (abbreviated as KIC). These d
Kimmo
Didn't perform exactly how I wanted but got me looking in the right area.
Thank you
Jeff
-Original Message-
From: R-help On Behalf Of K. Elo
Sent: Monday, November 5, 2018 1:14 PM
To: r-help@r-project.org
Subject: Re: [R] Importing JSON Files
Hi!
Have you tried to use 'fromJSON'
I have a dataframe (more than 50,000 observations), of cities in the EU.
My goal is to assign NUTS-2 code to each of these cities. However, I am not
aware of any direct way of achieving this, so I wanted to first assign
coordinates to the cities and then use the 'over' function to match with
NUTS
It would make helping you easier if you presented your data
in a format that others could copy and paste into R. E.g.,
z <- list(data.frame(favoriteValue=c(23527,21837),
Classification=c("","xyxy")),
data.frame(favoriteValue=c(25427,21237,21997),
Classification=c("","xyxy","xyx
r-help Forum
With a bit of r-help yesterday I was able to structure a JSON file such that I
can read it within the R environment and export what I need except for one list
object.
So when I run
location <- json.raw[["favorites"]]
thead(location)
# R returns something like ...
[[1]]
fa
Dear R-users,
The new package hablar help R-users to convert columns to new data types.
Also helps with summary functions like min and mean with vectors that contain
NA, Inf, NaN or when they are empty.
Three functions you may consider to use:
install.packages("hablar")
library(hablar)
1.
Hi all,
In my df I would like to generate a new column which contains a string showing
all the verbs in each row of df$Message.
> library(openNLP)
> library(NLP)
> dput(df)
structure(list(DocumentID = c(478920L, 510133L, 499497L, 930234L
), Message = structure(c(4L, 2L, 3L, 1L), .Label = c
> Jeff Newmiller
> on Mon, 5 Nov 2018 18:47:00 -0800 writes:
> Well, you may or may not have ruled out the Putty settings
> (your hand waving is a bit hard for me to interpret), and
> there may still be host side terminal settings involved,
> or if you compiled R yours
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