Displaying 20 results from an estimated 435 matches for "col1".
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2020 Sep 13
2
Cambiar datos de un DF
Hola:
Si codificas "col1" como un factor, lo puedes cambiar todo de una vez
renombrando los niveles correspondientes:
> df$col1<-as.factor(df$col1)
> df$col1
[1] uno dos 3 4 cinco 6 siete 8 9 diez
Levels: 3 4 6 8 9 cinco diez dos siete uno
> levels(df$col1)[1:5] <- c(&qu...
2011 Mar 16
3
making dataframes
Dear all,
I have a dataframe which looks like this (dummy):
date<-c("jan", "feb", "mar", "apr", "may", "june", "july",
"aug","sep","oct","nov","dec")
col1<-c(8.2,5.4,4.3,4.1,3.1,2.5,1.1,4.5,3.2,1.9,7.8,6.5)
col2<-c(3.1,2.3,4.7,6.9,7.5,1.1,3.6,8.5,7.5,2.5,4.1,2.3)
dum<-data.frame(cbind(date,col1,col2))
dum
date col1 col2
1 jan 8.2 3.1
2 feb 5.4 2.3
3 mar 4.3 4.7
4 apr 4.1 6.9
5 may 3.1 7.5
6 june 2.5 1.1
7 july 1.1...
2020 Aug 24
3
(sin asunto)
Creo que el problema se podría simplificar y aún obtener un resultado
aceptable si simplemente haces un ajuste lineal en un entorno del punto.
Como ya tienes los valores de los puntos de cada curva como dices
Carlos, creo que con esa información podrías identificar un entorno
adecuado en el cual ajustar linealmente.
Cuéntanos como te va,
Saludos !!
Eric.
On 24-08-20 12:52, Carlos Ortega
2006 Mar 06
1
Sort problem in merge()
Hello!
I am merging two datasets and I have encountered a problem with sort.
Can someone please point me to my error. Here is the example.
## I have dataframes, first one with factor and second one with factor
## and integer
> tmp1 <- data.frame(col1 = factor(c("A", "A", "C", "C", "0", "0")))
> tmp2 <- data.frame(col1 = factor(c("C", "D", "E", "F")), col2 = 1:4)
> tmp1
col1
1 A
2 A
3 C
4 C
5 0
6 0
> tmp2
col1 col...
2008 Feb 10
11
data frame question
Hello
I have 2 data frames df1 and df2. I would like to create a
new data frame new_df which will contain only the common rows based on the first 2
columns (chrN and start). The column score in the new data frame
should
be replaced with a column containing the average score (average_score) from df1
and df2.
df1= data.frame(chrN= c(“chr1”, “chr1”, “chr1”, “chr1”, “chr2”,
“chr2”, “chr2”),
2020 Sep 10
3
aplicar codigo
Hola,
me gustar?a hacer algo como en el siguiente ejemplo
A un df a?adirle una columna que es la transformaci?n de otra,
en plan a todo lo que sea x1, x2, x3 lo llamo prueba 1
todo lo que sea x4,x5,x6 lo llamo prueba 2
el resto de x las dejo como est?n.
Ser?a algo as?
col1 <- c('x1', 'x2', 'x11', 'x1','x33', 'x1','x4', 'x5', 'x35', 'x1','x2', 'x4')
df1<-data.frame(col1)
attach(df1)
df1$transformacion<-ifelse(col1 == "x1"|col1 == "x2"| col1 ==...
2017 Aug 23
0
Comparing 2 dale columns
Patrick,
## Run the following script an notice the different values of the dataframe "data" in each instance.
# I understand you have done something like the following:
data <- data.frame(COL1 = c("6/1/14", "7/1/14"),
COL2 = c("5/1/15", "5/1/15"), stringsAsFactors = FALSE)
data$Date_Flag <- ifelse(data$COL2 > data$COL1, 0,1)
data
data$COL2 <- as.Date(as.character(data$COL2, format = "%y/%m/%d"))
data$COL1 <-...
2005 Oct 07
2
finding missing lines...
Take this as an example:
> a=data.frame(col1=c(1,2,3,4,5), col2=c
("my","beloved","daughter","son","wife"))
> b=data.frame(col1=c(1,2,4),
col2=c("my","beloved","son"))
> a
col1 col2
1 1 my
2
2 beloved
3 3 daughter
4 4 son
5...
2017 Aug 23
2
Comparing 2 dale columns
Dear R fellows,
I created a new column Date_flag to compare the dates of COL1 and COL2 using the code
below. But it showed that 5/1/15 is greater than 6/1/2014 and 5/1/2015 greater than
7/1/2014 despite the year is greater. How do I fix that? I did try to format as %y/%m/%d
but it does not fix that.
data$Date_Flag <- ifelse(data$COL2 > data$COL1, 0,1)
COL1...
2012 Aug 13
4
if else elseif for data frames
Hi all,
It seems like I cannot use normal 'if' for data frames. What would be the
best way to do the following.
if data$col1='high'
data$col2='H'
else if data$col1='Neutral'
data$col2='N'
else if data$col='low'
data$col2='L'
else
#chuch a warning?
Note that col2 was not an existing column and was newly assigned for this
task.
Thanks,
Sachin
[[alternative...
2018 Feb 25
3
include
Thank you Jim,
I read the data as you suggested but I could not find K1 in col1.
rbind(preval,mydat) Col1 Col2 col3
1 <NA> <NA> <NA>
2 X1 <NA> <NA>
3 Y1 <NA> <NA>
4 K2 <NA> <NA>
5 W1 <NA> <NA>
6 Z1 K1 K2
7 Z2 <NA> <NA>
8 Z3 X1 <NA>
9 Z4 Y1 W1
On Sat, Feb 24, 2018...
2018 Feb 25
2
include
HI Jim and all,
I want to put one more condition. Include col2 and col3 if they are not
in col1.
Here is the data
mydat <- read.table(textConnection("Col1 Col2 col3
K2 X1 NA
Z1 K1 K2
Z2 NA NA
Z3 X1 NA
Z4 Y1 W1"),header = TRUE,stringsAsFactors=FALSE)
The desired out put would be
Col1 Col2 col3
1 X1 0 0
2 K1 0 0
3 Y1 0 0
4 W1 0 0
6 K2 X...
2018 Feb 25
0
include
Hi Val,
My fault - I assumed that the NA would be first in the result produced
by "unique":
mydat <- read.table(textConnection("Col1 Col2 col3
Z1 K1 K2
Z2 NA NA
Z3 X1 NA
Z4 Y1 W1"),header = TRUE,stringsAsFactors=FALSE)
val23<-unique(unlist(mydat[,c("Col2","col3")]))
napos<-which(is.na(val23))
preval<-data.frame(Col1=val23[-napos],
Col2=NA,col3=NA)
mydat<-rbind(preval,mydat)
mydat[is.na(mydat...
2006 Mar 16
3
Did I use "step" function correctly? (Is R's step() function reliable?)
Hi all,
I put up an exhaustive model to use R's "step" function:
------------------------
mygam=gam(col1 ~ 1
+ col2 + col3 + col4
+ col2 ^ 2 + col3 ^ 2 + col4 ^ 2
+ col2 ^ 3 + col3 ^ 3 + col4 ^ 3
+ s(col2, 1) + s(col3, 1) + s(col4, 1)
+ s(col2, 2) + s(col3, 2) + s(col4, 2)
+ s(col2, 3) + s(col3, 3) + s(col4, 3)
+ s(col2, 4) + s(col3, 4) + s(col4, 4)
+ s(col2, 5) + s(col3, 5) + s(col4, 5)
+ s(c...
2020 Sep 10
5
aplicar codigo
Hola:
Como dice Carlos, algo así, por ejemplo:
transforma <- function(df) sapply(df, function(x)
ifelse(x%in%c("x1","x2","x3"),
"prueba1",ifelse(x%in%c("x4","x5","x6"),"prueba2",x)))
> transforma(df1)
col1
[1,] "prueba1"
[2,] "prueba1"
[3,] "x11"
[4,] "prueba1"
[5,] "x33"
[6,] "prueba1"
[7,] "prueba2"
[8,] "prueba2"
[9,] "x35"
[10,] "prueba1"
[11,] "prueba1"
[12,] "prue...
2008 Jul 17
4
help with data layout
Hello list
I have been given some Excel sheets with data laid like this:
Col1 Col2
A 3
2
3
B 4
5
4
C 1
4
3
I was hoping to import this into R as a csv and then get the mean and SD for each letter in column 1.
Could someone give me some guidance on best to approach this?
Thanks...
2017 Aug 23
2
Comparing 2 dale columns
...precheza.cz>
Sent: Wednesday, August 23, 2017 11:20:00 AM
To: Patrick Casimir; r-help at r-project.org
Subject: RE: Comparing 2 dale columns
Hi
your code is wrong.
I get
> test<-read.table("clipboard", header=T)
> str(test)
'data.frame': 2 obs. of 2 variables:
$ COL1: Factor w/ 2 levels "6/1/14","7/1/14": 1 2
$ COL2: Factor w/ 1 level "5/1/15": 1 1
> test$COL2<- as.Date(as.character(test$COL2, format="%y/%m/%d"))
> test$COL1<- as.Date(as.character(test$COL1, format="%y/%m/%d"))...
2018 Feb 25
0
include
...on your specific weaknesses and become self-sufficient?
--
Sent from my phone. Please excuse my brevity.
On February 25, 2018 7:55:55 AM PST, Val <valkremk at gmail.com> wrote:
>HI Jim and all,
>
>I want to put one more condition. Include col2 and col3 if they are
>not
>in col1.
>
>Here is the data
>mydat <- read.table(textConnection("Col1 Col2 col3
>K2 X1 NA
>Z1 K1 K2
>Z2 NA NA
>Z3 X1 NA
>Z4 Y1 W1"),header = TRUE,stringsAsFactors=FALSE)
>
>The desired out put would be
>
> Col1 Col2 col3
>1 X1 0 0
>2 K1...
2018 Feb 25
2
include
Sorry , I hit the send key accidentally here is my complete message.
Thank you Jim and all, I got it.
I have one more question on the original question
What does this "[-1] " do?
preval<-data.frame(Col1=unique(unlist(mydat[,c("Col2","col3")]))[-1],
Col2=NA,col3=NA)
mydat <- read.table(textConnection("Col1 Col2 col3
Z1 K1 K2
Z2 NA NA
Z3 X1 NA
Z4 Y1 W1"),header = TRUE)
preval<-data.frame(Col1=unique(unlist(mydat[,c("Col2","col3...
2020 Sep 10
2
aplicar codigo
...ctamente. Se me ocurre que
pueda deberse a la versión de R ¿cuál usas?
El 10/09/2020 a las 17:51, Samura . escribió:
> Gracias por las respuestas.
>
> Probé lo de hacer la función y no me salía. Pensaba que hacía algo mal.
> Ahora con el código de Marcelino tampoco me sale.
>
> col1 <- c('x1', 'x2', 'x11', 'x1','x33', 'x1','x4', 'x5', 'x35',
> 'x1','x2', 'x4')
> col2 <- c('x12', 'x4', 'x6', 'x771','x4', 'x2')
> col3 <...