Displaying 3 results from an estimated 3 matches for "year_2".
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2010 Feb 12
2
Average of a variable against another.
Dear helpers,
FYI, I am a beginner of R, just have dealt with MATLAB or JAVA.
I want to know how to solve one problem given 4 variables: year_1, year_2,
tall_1, tall_2.
The tall_1 is measured at year_1 and tall_2 at year_2.
The tall has grown up such as uniformly 1 cm/yr.
The data is like
year_1 year_2 tall_1 tall_2
2007 2010 12 15
1999 2009 6 16
2003 2005 11 13
2002 2009 3 10
. . . . .
....
2010 Aug 20
1
Shifting of Principal amount while calculating Present Value
...ate =
read.csv('zero_rate_table.csv')
zero_rate1 = zero_rate[, -1]
cash_flow = c(7, 7, 107)
t = c(1,2,3)
PV_table = cash_flow / (1+zero_rate1/100)^t
## Then using rowSums, I should get the required result. However, I am getting following output as
> PV_table
year_1 year_2 year_3
[1,] 6.756757 6.45078 93.147342
[2,] 6.515675 94.521493 6.680664
[3,] 95.895064 6.710123 6.357680
[4,] 6.724304 6.389305 91.773536
rowSums(PV_table) gives
[1] 106.35489 107.71783 108.96287 104.88714.
Thus, the result is correct only in first case....
2013 Apr 30
3
Line similarity
...tfire, there is a procedure called "line similarity". I use this to determine which observations show a growing, stable or declining pattern... sort of like a mini-regression on the time-line for each observation.
So of the input is something like this:
Name Year_1_value Year_2_value Year_3_value
A 1 2 3
B 2 7 19
C 3 4 2
D 10 7 6
E 4 4 5
F NA 3 6
Then the desired output is as follows:
A Growing
B Growing
C Stable
D Declining
E Stable
F Growing (or NA is also fine)
The data can also be unstacked, i.e. the three years could be separate rows if necessary....