Hello,
I have a data frame with 400 columns and wanted to filter character columns
with "$" in it.For example: > x <- c("$5", "$89", "$10", "$34") > y <-
c(1:4)> My.Data <- data.frame (x,y)> My.Data x y1 $5 12 $89 23 $10 34 $34 4
I want to detect the columns with $ and remove the $ from t
Hi,
I have a data set with various date formats in one column and not sure how to
unify it.Here is a few formats:
02091702/22/170221201703/17/160015-08-239/2/1500170806May-2-201522-March-2014
I tried parse_date_time from lubridate library but it failed.Thanks so much.
Best,Farnoosh
[[a
Hi Christoph,
There is "," between dates.Many thanks. Best,Farnoosh
On Wednesday, June 28, 2017 9:05 PM, Christoph Puschmann
wrote:
Hey,
Are all the dates connected? So no comma or space btw?
Regards,
Christoph
> On 29 Jun 2017, at 2:02 pm, Farnoosh Sheikhi via R-h
format="%B-%d-%y" )
idx <- grepl( "^(0[1-9]|1[0-2])[0-9]{2}[0-9]{2}$", dta$DtStr, perl=TRUE )
dta$Dt[ idx ] <- as.Date( dta$DtStr[ idx ], format="%m%d%y" )
idx <- grepl( "^([1-9]|1[0-2])/[0-9]{1,2}/[0-9]{2}$", dta$DtStr, perl=TRUE
)
dta$Dt[ idx ] &l
Hi,
I have the below function which returns confidence intervals. I wanted to pass
different sample sizes through the function, but for some reason it's not
working. n <- seq(from=40, to=300, by=2o)
I was also wondering how I can return a plot for different sample sizes.
plot(m~d, main="
Hi all,
I have two data sets similar like below and wanted to merge them with variable
"deps". As this is a sample data with small sample size, I don't have any
problem using command merge. However, the actual data set has ~60,000
observations with a lot of repeated measures. For example, for a
Hi there,
I have a data set like below and wanted to create a new date variable by
extracting the dates for specific departments.I want to extract the dates for
departments CC, DD, FF, put it in a new column and repeat it for other unique
IDs.
Subject<- c("2", "2", "2", "3", "3", "3", "4", "4"
blockquote, div.yahoo_quoted { margin-left: 0 !important; border-left:1px
#715FFA solid !important; padding-left:1ex !important; background-color:white
!important; }
Hi
I have a data set like below and wanted to create a new date variable by
extracting the dates for specific departments.I wa
Hi Arun,
Hope all is well with you. I have a data with a column for date.The date format
is mixed. There are date values with Month/Day/Year format and values with
Day/Month/Year format.I don't know how to unify it.I really appreciate your
help.Thanks.
[[alternative HTML version dele
-7L),
class = "data.frame")SampleData
Thanks for your help:).
On Wednesday, July 29, 2015 1:50 PM, Sarah Goslee
wrote:
On Wed, Jul 29, 2015 at 2:45 PM, farnoosh sheikhi v
13L, 8706L, 4049L, 5877L,
>>> 1375L, 2223L, 3423L), date = structure(c(4L, 3L, 2L, 1L, 7L,
>>> 6L, 5L), .Label = c("05/12/11", "06/05/11", "07-Dec-11",
>>> "19-Dec-11", "01/22/2011", "10/19/2011", "31/12/20
That's exactly what I was thinking. Thanks tons.
Sent from Yahoo Mail on Android
From:"arun"
Date:Sun, Feb 15, 2015 at 2:47 AM
Subject:Re: Difference in dates for unique ID
HI Farnoosh,
Not sure I understand the expected output.� The difference between the first 2
days is "136 days"
May be
Hello,
I'm trying to get the distances between two Zipcode variables, but for some
reason I get this error:
"matching was not perfect, returning what was found.Error: no such index at
level 1"
Here is my code:
library(ggmap)mapdist(data$Zip.A, data$Zip.B, mode = "driving")
The Zip codes are all
Hello,
I have a data set similar to below and I wanted to keep the observations after
the first occurrence of these department: "B", "D", "F".For example for ID=2,
the observation with deps=B and anything after will be kept in the data. For
ID=3, observations with deps=D and anything after will
g) keep_rows<-c(keep_rows,rowindex)
}
final<-matrix(unlist(lapply(df[keep_rows,],as.character)),ncol=3)
I find it terribly hard to ignore puzzles.
Jim
On Wed, Mar 30, 2016 at 10:52 AM, Farnoosh Sheikhi via R-help
wrote:
> Hello,
> I have a data set similar to below and I wanted to
Hi,
I have a data set like below:
Subject<- c("2", "2", "2", "3", "3", "3", "4", "4", "5", "5", "5",
"5")dates<-c("2011-01-01", "2011-01-01", "2011-01-03" ,"2011-01-04",
"2011-01-05", "2011-01-06" ,"2011-01-07", "2011-01-07", "2011-01-09"
,"2011-01-10" ,"2011-01-11" ,"2011-01-11")deps<-
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