I have a table as follows:
tab1 <- as.table(matrix(c(8,6,9,0,8,4,0,12,7,10), ncol = 2, byrow = FALSE,
dimnames = list(site = c("beta", "alpha", "gamma", "theta", "delta"),
count = c("low", "high"))))
> tab1
count
site low high
beta 8 4
alpha 6 0
gamma 9 12
theta 0 7
delta 8 10
and a data.frame that maps the site names to siteID's:
data.frame(site = c("alpha", "beta", "gamma", "delta", "theta"), siteId = c(1102, 3154, 9000, 1101, 1103))
site siteId
1 alpha 1102
2 beta 3154
3 gamma 9000
4 delta 1101
5 theta 1103
Finally, I have a data.frame that contains these siteID's and some other variables:
data.frame(siteId = c(1101, 1102, 1103, 3154, 9000), treatment = c("A", "B", "C", "E", "F"))
siteId treatment
1 1101 A
2 1102 B
3 1103 C
4 3154 E
5 9000 F
What I need to be able to do is to order the columns in the last dataframe in the same way that the rows in tab1 were ordered, so it should yield:
siteId treatment
1 3154 E
2 1102 B
3 9000 F
4 1003 C
5 1001 A
How can I do that, without engaging in elaborate looping? The actual dataset is quite large, so looping would take much more time than I would want to.
You can do this by match
ing the IDs from the different data frames. By the way I changed epsilon
in data frame a
to theta
, as there's no epsilon in tab1
.
tab1 <- as.table(matrix(c(8,6,9,0,8,4,0,12,7,10), ncol = 2, byrow = FALSE,
dimnames = list(site = c("beta", "alpha", "gamma", "theta", "delta"),
count = c("low", "high"))))
a = data.frame(site = c("alpha", "beta", "gamma", "delta", "theta"), siteId = c(1102, 3154, 9000, 1101, 1103))
b = data.frame(siteId = c(1101, 1102, 1103, 3154, 9000), treatment = c("A", "B", "C", "E", "F"))
# put a in the order of tab1
a = a[match(a$site,rownames(tab1)),]
# put b in order of a
b = b[match(a$siteId, b$siteId),]
> b
# siteId treatment
#4 3154 E
#2 1102 B
#5 9000 F
#3 1103 C
#1 1101 A
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