Using search term "knn classification" on rseek.org brought up many
relevant hits.
Among them, the knn() function in package "class" seems relevant -- but
there are others, as you will see.
Your second question is about statistics and is largely off topic here. Per
the posting guide (linked belo
I have pathogen (1/0) as a dependent variable and total (count) as
independent variable. I have to get 1) KNN on total and 2) get the training
error and training TPR and FPR for k = 5 nearest neighbors using total as a
predictor. and 3) get a plot of training error vs. k for k = 1, 2, ..., 10
with
I think Parrot is a distribution of Linux, which would likely use the bash
command shell.
The saved workspace would be in a file named ".RData" in whatever the current
directory was when you quit R. Many experienced users of R avoid creating such
files as mistakes from old sessions can come bac
On 1/20/21 8:00 AM, Imran Shimanto wrote:
Dear Sir,
How can i find the save workplace what i was practiced on parrot os
terminal?
# execute at your console
?save.image
How can i save program on parrot terminal and how i can find the saved file
??
You should contact the people who mainta
Dear Sir,
How can i find the save workplace what i was practiced on parrot os
terminal?
How can i save program on parrot terminal and how i can find the saved file
??
I am learning R from W3schools.com and i am enjoying that. After that how
can i learn advance R ?
[[alternative HTML versio
On 10/22/19 10:19 PM, Yeasmin Alea wrote:
Thank you. Can you please have a look the below data sets, script and
question?
*Dataset-1: Pen*
*YEAR DAY X Y Sig phase *
* *
*1 1981 9 -0.213 1.08 1.10 Phase-7*
*2 198110 0.065 1.05 1.05 Phase-6*
*Dataset-
Thank you. Can you please have a look the below data sets, script and
question?
*Dataset-1: Pen*
*YEAR DAY X Y Sig phase *
* *
*1 1981 9 -0.213 1.08 1.10 Phase-7*
*2 198110 0.065 1.05 1.05 Phase-6*
*Dataset-2: Book*
*YEAR Time *
*1 1981 1
Hi Yeasmin,
I suspect that you didn't intend to have conditions like:
a<0 && b>0 && b 0 && abs(b) < abs(a)
If this is the case, the following function seems to return the values
of phase that you want:
assign_phase<-function(x,y) {
phase<-c(1,2,7,8,3,4,6,5)
phase_index<-4 * (x > 0) + 2 * (y >
Both your syntax and semantics are wrong. This indicates to me that you
should spend more time with some basic R tutorials before proceeding.
That said, here are some of the errors:
1) You are not using sapply correctly. Moreover, no R level iteration is
needed anyway (sapply() iterates over colu
Here is another way of doing it by computing the index based on the
conditions
> input <- read_delim(" YEAR DAY X Y Sig
+ 1981 9 -0.213 1.08 1.10
+ 198110 0.065 1.05 1.05", delim = ' ', trim_ws = TRUE)
>
> input <- mutate(input,
+ phase = case_when(X < 0 & Y < 0 & Y
Had the condition for phase=2 incorrect:
library(tidyverse)
input <- read_delim(" YEAR DAY X Y Sig
1981 9 -0.213 1.08 1.10
198110 0.065 1.05 1.05", delim = ' ', trim_ws = TRUE)
input <- mutate(input,
phase = case_when(X < 0 & Y < 0 & Y < X ~ 'phase=1',
Here is one way of doing it; I think the output you show is wrong:
library(tidyverse)
input <- read_delim(" YEAR DAY X Y Sig
1981 9 -0.213 1.08 1.10
198110 0.065 1.05 1.05", delim = ' ', trim_ws = TRUE)
input <- mutate(input,
phase = case_when(X < 0 & Y < 0 & Y < X
Hello Team
I would like to add a new column (for example-Phase) from the below data
set based on the conditions
YEAR DAY X Y Sig
1 1981 9 -0.213 1.08 1.10
2 198110 0.065 1.05 1.05
*Conditions*
D$Phase=sapply(D,function(a,b) {
a <-D$X
b<-D$Y
if (a<0 &
Hi,
I have explored many of the R packages that construct Bayesian trees including
the tgp, bart, BMA and maptree packages. I have also searched through some
other packages but they do not seem to be suitable for the type of analysis I
need to do. I need to construct Bayesian CART that have ter
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