Displaying 7 results from an estimated 7 matches for "51.29".
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1.29
2007 Dec 03
1
Plotting monthly timeseries with an x-axis in "time format"
I have the following timeseries "tab"
=====================================
> str(tab)
mts [1:23, 1:2] 79.5 89.1 84.9 75.7 72.8 ...
- attr(*, "dimnames")=List of 2
..$ : NULL
..$ : chr [1:2] "Ipex...I" "Omel...E"
- attr(*, "tsp")= num [1:3] 2006 2008 12
- attr(*, "class")= chr [1:2] "mts" "ts"
> tab
2007 Dec 09
1
Setting the grid of a graph of timeseries
I have the following code
####################################################################
library(zoo)
miedate <- yearmon((2006)+seq(0,23)/12)
tab <- zoo(cbind(A = c(79.47, 89.13, 84.86, 75.68, 72.82, 78.87, 93.46,
78.18, 82.46, 77.25, 80.95, 84.39, 81.7, 74.76, 65.29, 60.3,
66.59, 73.19, 92.39, 65.76, 77.45, 74.22, 101.36, 100.01), B = c(77.95,
76.73, 51.2, 51.86, 51.29, 49.45,
2007 Dec 08
1
lm: how to calculate rsquared of the predicted values?
Hi,
I've built a linear model using multiple linear regression which leads me a
R-squared value of 73.58%.
After that, I used this model to predicted some values based on the test
data.
Now I'm wondering how:
1. can I measure de R-squared value between the predicted(by the model) and
real (observed) values.?
2. Measure the RMSE error .
Example: suppose my data its below:
REAL
2007 Dec 11
1
postResample R² and lm() R²
Hello,
I'm with a conceptual doubt regarding Rsquared of both lm() and
postResample(library caret).
I've got a multiple regression linear model (lets say mlr) with anR² value
of 67.52%.
Then I use this model pro make predictions with predict() function using the
same data as input , that is, use the generated model to predict the value
associated with data that I used as input.
Next, if
2017 Oct 05
0
RFM Analysis Help
Hi Hemant,
As I suspected, the code broke when I got to the line:
result <- rfm_auto(df, id="user_id", payment ="subtotal_amount",
date="created_at")
Error in rfm_auto(df, id = "user_id", payment = "subtotal_amount", date = "cr
eated_at") :
could not find function "rfm_auto"
It looks like you are using the hoxo-m/easyRFM
2017 Oct 06
3
Help RFM analysis in R (i want a code where i can define my own breaks instead of system defined breaks used in auto_RFM package)
I'm trying to perform an RFM analysis on the attached dataset,
I'm able to get the results using the auto_rfm function but i want to
define my own breaks for RFM.
as follow
r <-c(30,60,90)
f <-c(2,5,8)
m <-c(10,20,30)
but when i tried to define my own breaks i got the identical result for RFM
i.e 111 for every ID.
please help me with this with working R script so that i can get
2013 Apr 22
7
Multiple lon lat points in the map with ggplot2
Hello R users,
For the last few days I am struggling with the following task:
my data.frame:
A1 A2 A3 B1 B2
B3
58.81 53.292 54.501 13.013 17.39 19.407 56.02 56.251 54.033 20.099 13.15
10.411 55.376 53.099 57.625 13.396 21.031 13.22 58.584 53.194 54.218
13.038 16.854 19.289 55.7 55.921 53.847 19.942 13.153 9.828 55.093 52.934