Hello,
Here are 2 examples, one with stringr::str_remove_all and the other with
base gsub. I am assuming that you want to remove the spaces from column
'servicer'.
dat <- data.frame(x = rnorm(2),
servicer = c("a b c", " d efg"),
fctrdt = 1:2)
dat
library
Dear Sarah,
Thank you for your contribution.
I have tried to use merge function as suggested. But the function
seems to work with data frame. And the file cannot be in the form of
data frame as they have different lengths. I also tried whether I can
use the function without data frame. It didn't w
Dear Jim,
Many thanks for sparing your time to assist me.
I have tried your codes. It worked very well to some extent for me. At
least it produced the indices you mentioned.
But I got stuck when I think of how to use it in further calculations
as you indicated. I tried including the indices as th
Dear Experts,
I asked about a turning identification last few weeks. I got much help
from the list and was really really happy.
When part of the work was published, I was happy to show you and
further thank the contributors. Unfortunately, the moderator didn't
allow the pdf to go. A link was rathe
I don't use dplyr, but it's trivial with gsub, assuming I understand
correctly:
> x <- "a b\t c\n e"
> cat(x)
a b c
e
> gsub("[[:space:]]", "",x)
[1] "abce"
See ?regex for details (of course!), especially the section on character
classes.
Bert Gunter
"The trouble with having an open mind is
Dear Jeff,
I had initially set to plain text. I didn't know when it reverted to
HTML. It has been corrected. Thanks for informing me.
I have checked ?setdiff. The examples are well explained, so it was
not hard for me to use. However, it did not seem to tackle my problem.
I have two columns but it
All,
This may not be the proper place to ask as the question is dplyr and removing
white space using mutate. My code is below:
```{r, echo = FALSE, message = FALSE
conn <- myconnection
```{r, echo = FALSE, message=FALSE}
fhlloanbalance <- tbl(conn, "fhlloan_balance_view")
colnames(fhlloa
Hi Ogbos,
One way to get all combinations of common and different dates is:
THULinINVK<-which(THUL1$V1 %in% INVK1$V1)
THULnotinINVK<-which(!(THUL1$V1 %in% INVK1$V1))
INVKinTHUL<-which(INVK1$V1 %in% THUL1$V1)
INVKnotinTHUL<-which(!(INVK1$V1 %in% THUL1$V1))
This produces vectors of indices that can
a) Your use of HTML is corrupting your data. Post using plain text, and use
dput output instead of trying to insert tables.
b) You should read about ?setdiff.
On March 1, 2020 1:12:04 PM PST, Ogbos Okike wrote:
>Dear Friends,
>I have two data frame of the form:
>1997-11-2219 -2.54910135429339
>
Look at the all arguments to merge() - you can keep the non-matching
dates, and look for NA values in the data.
Sarah
On Sun, Mar 1, 2020 at 4:12 PM Ogbos Okike wrote:
>
> Dear Friends,
> I have two data frame of the form:
> 1997-11-2219 -2.54910135429339
> 1997-11- -2.66865640466636
> 1997-
Dear Friends,
I have two data frame of the form:
1997-11-2219 -2.54910135429339
1997-11- -2.66865640466636
1997-11-2305 -2.60761691358946
1997-12-1104 -2.5323738405159
1997-12-1106 -2.6020470080341
1998-05-0204 -4.49745020062937
1998-05-0209 -4.9462725263541
1998-05-0213 -4.60533021405541
1998-
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