For mean() and sd() you need to convert the data frame to a matrix (I'm
guessing here since you did not show us the structure of your data). The min()
and max() functions should work on the data frame just fine. If you have other
columns in the data frame, extract the monthly columns first.
> set.seed(42)
> x <- data.frame(matrix(rnorm(100), 20, 5))
> str(x)
'data.frame': 20 obs. of 5 variables:
$ X1: num 1.371 -0.565 0.363 0.633 0.404 ...
$ X2: num -0.307 -1.781 -0.172 1.215 1.895 ...
$ X3: num 0.206 -0.361 0.758 -0.727 -1.368 ...
$ X4: num -0.367 0.185 0.582 1.4 -0.727 ...
$ X5: num 1.5127 0.2579 0.0884 -0.1209 -1.1943 ...> mean(as.matrix(x))
[1] 0.03251482> sd(as.matrix(x))
[1] 1.041357> min(x)
[1] -2.99309> max(x)
[1] 2.286645
-------------------------------------
David L Carlson
Department of Anthropology
Texas A&M University
College Station, TX 77840-4352
-----Original Message-----
From: R-help [mailto:r-help-bounces at r-project.org] On Behalf Of Saba Sehrish
via R-help
Sent: Wednesday, April 6, 2016 6:51 AM
To: r-help at r-project.org
Subject: [R] Descriptive Statistics of time series data
Hi
I have four variables and the time series data for each variable consists of
values for past 10 years on monthly basis. I want to get descriptive stats for
these four variables separately (mean, median, sd, min, max).
The data I import to R consists of different columns, where each column gives
values for one month of a particular year (e.g. March 31st, 2010). Right now R
gives descriptive results for each column, whereas I need it collectively for
all the years ( one mean, one sd, one min, one max and one median) for each
variable.
Kindly guide me in this regard.
Thanks.
Saba
Sent from Yahoo Mail on Android
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