library(lubridate)
gs$dat1 <- mdy(gs$date)
On Tue, 17 Dec 2019 at 18:38, peter dalgaard wrote:
>
> ...and switch the order, and use %y for 2-digit years.
>
> > On 17 Dec 2019, at 23:57 , Patrick (Malone Quantitative)
> > wrote:
> >
> > Try putting / instead of - in your format, to match the d
...and switch the order, and use %y for 2-digit years.
> On 17 Dec 2019, at 23:57 , Patrick (Malone Quantitative)
> wrote:
>
> Try putting / instead of - in your format, to match the data.
>
> On Tue, Dec 17, 2019 at 5:52 PM Val wrote:
>>
>> Hi All,
>>
>> I wanted to to convert character da
Try putting / instead of - in your format, to match the data.
On Tue, Dec 17, 2019 at 5:52 PM Val wrote:
>
> Hi All,
>
> I wanted to to convert character date mm/dd/yy to -mm-dd
> The sample data and my attempt is shown below
>
> gs <-read.table(text="ID date
> A1 09/27/03
> A2 05/27/16
Hi All,
I wanted to to convert character date mm/dd/yy to -mm-dd
The sample data and my attempt is shown below
gs <-read.table(text="ID date
A1 09/27/03
A2 05/27/16
A3 01/25/13
A4 09/27/19",header=TRUE,stringsAsFactors=F)
Desired output
ID date d1
A1 09/27/03 2003-09-27
Okay, I'm away for most of the day and might not be able to look at it
until tomorrow.
Jim
On Wed, Dec 18, 2019 at 9:27 AM Ioannou, Ioanna
wrote:
>
> Hello Jim ,
>
> I am very sorry. Here is the corrected sample data to play with:
>
> Test.v2 <- data.frame(Ref.No = c(1622, 1623, 1624, 1625, 162
Hello Ioanna!
Please don't post the same question 4 times in a row. One is just
enough; you can see it posted successfully in the R-help archives:
https://stat.ethz.ch/pipermail/r-help/2019-December/465108.html
On Tue, 17 Dec 2019 19:38:02 +
Ioanna Ioannou wrote:
> VC <- 0.01*( subset(D, I
Hello everyone,
I have the following problem: I have a data.frame with multiple fields.
If I had to do my calculations for a given combination of IM.type and Taxonomy
is the following:
D <- read.csv('Test_v2.csv')
names(D)
VC <- 0.01*( subset(D, IM.type == 'PGA' & Damage.state == 'DS1' & Taxono
Hello everyone,
I have the following problem: I have a data.frame with multiple fields.
If I had to do my calculations for a given combination of IM.type and
Taxonomy is the following:
D <- read.csv('Test_v2.csv')
names(D)
VC <- 0.01*( subset(D, IM.type == 'PGA' & Damage.state == 'DS1' & Taxo
Just i case you cant see the data:
Test.v2 <- data.frame(Ref.No = c(1622, 1623, 1624, 1625, 1626, 1627, 1628,
1629),
IM.type = c('PGA', 'PGA', 'PGA', 'PGA', 'Sa', 'Sa', 'Sa',
'Sa'),
Damage.state = c('DS1', 'DS2', 'DS3', 'DS4','DS1', 'DS2',
'DS3', 'DS4
Hello everyone,
I have the following problem: I have a data.frame with multiple fields.
If I had to do my calculations for a given combination of IM.type and Taxonomy
is the following:
D <- read.csv('Test_v2.csv')
names(D)
VC <- 0.01*( subset(D, IM.type == 'PGA' & Damage.state == 'DS1' & T
Hello everyone,
I have the following problem: I have a data.frame with multiple fields.
If I had to do my calculations for a given combination of IM.type and Taxonomy
is the following:
D <- read.csv('Test_v2.csv')
names(D)
VC <- 0.01*( subset(D, IM.type == 'PGA' & Damage.state == 'DS1' & Tax
Generation of a number of Christmas cards, most of them being animated. The
name of each card includes the year in which it was created.
Some examples are:
- The christmas card that was writen in 2009 shows a “caganer” (
https://en.wikipedia.org/wiki/Caganer):
> library(christmas)
> xmas2009caga
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