Dear R users,
I am looking to fit a gamma curve onto a histogram of the data.
Consider dt1 as my data:
c(203.9, 91.5, 24.5, 34.5, 164, 144, 160.5, 195, 191.5, 189,
133, 110.5, 155, 80.5, 250.5, 116, 145, 118.5, 406, 183.5, 142.5,
197, 367, 134, 153.5)
I am using this code in R
x<-dt1
h<-hist(x,b
Hi all,
Could someone help me on this? I have this kind of data set
structure(list(Year = c(1971L, 1971L, 1971L, 1971L, 1971L, 1971L,
1971L, 1971L, 1971L, 1971L, 1971L, 1971L, 1971L, 1971L, 1971L,
1971L, 1971L, 1971L, 1971L, 1971L, 1971L, 1971L, 1971L, 1971L,
1971L, 1971L, 1971L, 1971L, 1971L, 19
Dear R users,
I used this codes to find the 1-day annual rainfall maximum
bmFort <- blockmaxxer(Fort, blocks = Fort$year, which="Prec");bmFort
and the output is given below:
structure(list(obs = c(119, 507, 994, 1398, 1583, 1917), tobs = c(119,
142, 264, 303, 123, 91), month = c(4, 5, 9, 10, 5
Hi all,
I have this data set,
> dput(Ts)
structure(list(V1 = c(3, 17, 29, 12, 4.5, 1, 0.5, 0, 0, 0, 1.2,
1.8, 1.5, 0.5, 0, 47.7, 0.3, 0, 2, 0, 5.5, 8, 27.5, 69, 29, 24.5,
57.5, 40, 1, 14.5, 0, 0, 0, 0, 0, 0, 1.5, 2, 0, 0, 0, 0, 7, 29.5,
77, 11.5, 33, 38, 36, 8, 28, 11, 11, 0, 17, 0, 51, 0.5, 5, 0
Hi all,
I tried to draw multiple line graphs, and this is my data:
structure(list(X = structure(c(3L, 1L, 2L), .Label = c("10%",
"20%", "5%"), class = "factor"), NRM = c(0.993112, 0.9757191,
0.9709928), AAM = c(0.9928504, 0.9764055, 0.9702813), IDW = c(0.9923301,
0.9737133, 0.9640287), CCM = c(0.
Hi all,
I have problem on how to replace value. I have this kind of data set:
structure(list(A = c(0, 12.6, 10.1, 8.1, 14.4, 0, 0, 0, 0, 0.5,
12.9, 25.9, 49, 0, 0, 0, 0, 0, 7.8), B = c(0, 0, 9.1, 9.3, 1.5,
1, 1, 1, 1.7, 6, 0, 0, 0, 1.7, 3.8, 0, 0, 0, 1), C = c(1, 1,
9.10004, 9.2, 1.5,
ary if each row is one day?
>
> I believe that merging your data with date column made by ?seq.POSIXt can
> remove any nonexistent row but it all depends on how your data are
> structured and what do you want to remove.
>
> Petr
>
>
> > -Original Message-
Hi,
I would like to ask about the deletion of rows in the data.
Assuming I have this kind of data set, which you can refer through the
attachment.
As in the attachment, I have 31 days for each month which is I want to
delete some of the rows according to the real days per month.
For example:
Hi all,
I know this is easy, but I really do not have any idea to solve it.
I have this kind of data set:
dat <- read.table(text="Day Year Jan Feb Mar Apr
1 2012 0 2.5 0.5 2
2 2012 0 6.5 0 29
3 2012 0 9.5 0 0
4 2012 0 0 8 0.5
5 2012 0 5 0.5 110.5
6 2012 0 4 3.5 22
7 2012 11
Hi all,
I have a data set in this form:
Year: 2012
Day Jan Feb Mar Apr 1 0 2.5 0.5 2 2 0 6.5 0 29 3 0 9.5 0 0 4 0 0 8 0.5
5 0 5 0.5 110.5 6 0 4 3.5 22 7 11 0 12.5 3.5 8 0 5 8 36.5
I want to rearrange the data in this form:
DateAmount
1/1/2012 0
2/1/2012
Hi all,
I have a data set which treat missing value as NA and now I need to replace
all these NA's by using number in the same row but different column.
Here is the part of my data:
V1 V2 V3 V4 V5 V6 V7 0 0 0 1.2 0 0 0.259 0 0 12.8 0 23.7 0 8.495 6 0
81.7 0.2 0 20 19.937 0 1.5 60.9 0 0 15.5
Hi all,
I have a data set with missing value. I would like to estimate those
missing value by using normal ratio method.
Below is part of my data:
AS BL Serdang Jhr Phg Target station
00.012.8 0.0 23.7 0.0
60.081.7 0.2 0.0 NA
01.
Hi,
Im new R users. In my research I use rainfall data and Im interested in
estimating missing data. I would like to use Normal Ratio Method to
estimate missing data. My problem is, how do I introduce missing data
randomly within my complete set of data?
Stn ID Year Mth Day Amount
4860
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