I have the following dataset:

```
my_data <- structure(list(id = 1:5, d1 = structure(c(16764, 11375, 13873, 
10665, 14395), class = "Date"), d2 = structure(c(14487, 14709, 
11417, 13531, 13457), class = "Date"), d3 = structure(c(15706, 
13542, 16722, 17001, 12621), class = "Date"), d4 = structure(c(14628, 
11210, 14134, 14597, 15119), class = "Date"), d5 = structure(c(10664, 
18150, 15536, 16109, 12236), class = "Date")), row.names = c(NA, 
5L), class = "data.frame")

 id         d1         d2         d3         d4         d5
1  1 2015-11-25 2009-08-31 2013-01-01 2010-01-19 1999-03-14
2  2 2001-02-22 2010-04-10 2007-01-29 2000-09-10 2019-09-11
3  3 2007-12-26 2001-04-05 2015-10-14 2008-09-12 2012-07-15
4  4 1999-03-15 2007-01-18 2016-07-19 2009-12-19 2014-02-08
5  5 2009-05-31 2006-11-05 2004-07-22 2011-05-25 2003-07-03

```

* For each row, I would like the smallest of the 5 dates to be assigned to d1, the second smallest of the 5 dates assigned to d2, the third smallest of the 5 dates assigned to d3, the fourth smallest of the 5 dates assigned to d4, and the least smallest of the 5 dates assigned to d5.

This would look something like this (e.g. first row - repeat for the remaining 99 others):

```
id         d1         d2         d3         d4         d5
1  1 1999-03-14 2009-08-31 2010-01-19  2013-01-01 2015-11-25

```

I tried looking for similar examples on Stackoverflow, but so far I could not find anything that matches what I am trying to accomplish (e.g. [Sorting each row of a data frame](https://stackoverflow.com/questions/31752475/sorting-each-row-of-a-data-frame)).

**Can someone please show me how to do this?**

Thanks!

**Note:** Closest example I got to work (does not involve dates):

```
a = rnorm(100,100,100)
b = rnorm(100,100, 100)
c = rnorm(100,100,100)
d = rnorm(100,100,100)
e = rnorm(100,100,100)

df = data.frame(a,b,c,d,e)

 head(df)
          a          b         c         d         e
1  56.48320 -55.274406  83.32993 -96.55970 181.65859
2  94.17800  88.084876  31.58830 -44.06487 156.85318
3 257.56950  28.500542  34.76845  57.00857  51.76036
4 100.22489   6.946803  60.88848 116.18413  37.34444
5  21.77935  -7.538119  89.29565 -67.28311  43.98728
6 200.18950  -1.555829 123.91148 106.45983 107.50339

# now sort them (check if for each row, numbers increase from left to right)

n = data.frame(t(apply(df, 1, sort)))

          X1         X2        X3        X4        X5
1 -96.559698 -55.274406  56.48320  83.32993 181.65859
2 -44.064873  31.588295  88.08488  94.17800 156.85318
3  28.500542  34.768449  51.76036  57.00857 257.56950
4   6.946803  37.344439  60.88848 100.22489 116.18413
5 -67.283113  -7.538119  21.77935  43.98728  89.29565
6  -1.555829 106.459828 107.50339 123.91148 200.18950

```