Hi all, I am New to R. I am trying to make a scatterplot graph with time-series (dt) on my x-axis but it only shows me two dates and not time either, measurements were taken on 25, 26, 27, 28, 29, 30 November and again on 5, 6 December. also each day 4 plants were measured at different times of the …

Here is a bit of a suggestion based on the data you supplied. Note I used {data.table} because it was convenient for me but you can do the same with base R or {tidyverse}. library(patchwork) library(data.table) library(ggplot2) ## data in dput format below tho code. mydat <- as.data.table(mydat)…

Here is the whole dataset, I am interested to plot date_time (y)against Conductance (x). November and December data separately but with the same y-axis scale and presenting the result as a two-panel figure. Date Date_Time Plant_ID Period VLOOKUP(Plant ID_Period) Leaf A/B Leaf_Section VLOOKUP(Plant…

I will give it a try, and give feedback

I'm sorry but that just is not usable data. I managed to paste it into a text editor and read it into R. I got 73 rows & 20 columns of sometimes rather strange looking data. This is from rows 55:65. [shot] In a spreadsheet I am getting this: [s55:65] I really do not know what to do with it. …

I noticed the data is not readable to the way I pasted it. kindly drop me an email me at paulinapawa@gmail.com . Thank you

Pomwene replied to me off-forum and supplied an Excel data file. See below. The file is too large to include as dput output and I xam uncertain how to get a representative sample across days so here is a link to the Excel file. Dropbox This is a quick summ…

How about this? library(tidyverse) library(readxl) url <- "https://www.dropbox.com/scl/fi/ya3twt4l1vvq9uwaphgvq/Pomwene_R.xlsx?dl=1&rlkey=ipw2rj8nucb904x28kymae3sn" download.file(url, "sample_data.xlsx") sample_df <- read_excel("sample_data.xlsx") sample_df %>% mutate(stage = case_when( …

Looks promising. We will have to see what Pomwene thinks. I've been experimenting with a day-by-day approach but at the moment it is in the "Brute Strength & Stupidity* level of coding. library(tidyverse); library(data.table) library(lubridate); library(rio); library(patchwork) dat1 <- impo…

This looks great, can we perhaps have one graph per day/per plant to see the variations, with time series on x-axis, which means the date and time all showing in 90 degree angle

Posit Community

Timeserie (date_time) scatterplot

tidyverse

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