Hi Pedro,
Scratch that last email. I remembered that "tus.datos" was so large
that it was hanging my R session last time. However, this seems to
work:
tus.datos<-read.table("datayield.csv",sep=";",
header=TRUE,stringsAsFactors=FALSE)
row_subset<-tus.datos$DATA_TYPE_FM %in% data_types &
tus.datos
Hi Pedro,
I think the error arises in your "if" statement, should be:
if(PERIOD == TRUE)
or more simply:
if(PERIOD)
Jim
On Thu, Aug 6, 2020 at 11:54 PM Pedro páramo wrote:
>
> Hi Jim,
>
> Many thanks for your help, I will try a 2D plot and then pass to 3D.
>
> I am trying something like this:
Hi Jim,
Many thanks for your help, I will try a 2D plot and then pass to 3D.
I am trying something like this:
tus.datos<-read.table("datayield.csv",sep=";",header=TRUE)
data_types<-c("PY_1Y","PY_2Y","PY_3Y","PY_4Y","PY_5Y","PY_6Y","PY_7Y")
row_subset<-tus.datos$DATA_TYPE %in% data_types
x<-tu
Hi Pedro,
I'm not exactly sure of what you want, but try this:
# I downloaded the CSV file as datayield.csv
tus.datos<-read.table("datayield.csv",sep=";",header=TRUE)
library(scatterplot3d)
data_types<-c("PY_1Y","PY_2Y","PY_3Y","PY_4Y","PY_5Y","PY_6Y","PY_7Y")
row_subset<-tus.datos$DATA_TYPE %in%
Hi all,
I have a csv (extracted from a web) I attach the data:
I use this code to read the data;
library("readr")
tusDatos <- read_csv('~/datayield.csv')
In this CSV, I want to use three columns:
tusDatos$DATA_TYPE_FM, (will be X axis)
tusDatos$TIME_PERIOD (will be the pivot to search the v
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