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[R package] Log Response Ratio and Effect Size Calculation (feat. lrr)

[R package] Log Response Ratio and Effect Size Calculation (feat. lrr)

When conducting a meta-analysis, results from multiple studies must be synthesized despite differences in measurement scales, experimental designs, and reported units. To enable meaningful comparisons across studies, effect sizes are commonly used. One of the most widely applied effect size metrics in ecological and agricultural research is the Log Response Ratio (LRR). The Log Response Ratio is calculated as: LRR = ln(Xt / Xc)where Xt represents the mean response of the treatment group and Xc represents the mean response of…

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Connecting R to Linux-Based Virtual Private Server (VPS) by DigitalOcean for Secure Data Access

Connecting R to Linux-Based Virtual Private Server (VPS) by DigitalOcean for Secure Data Access

I don’t manage my data with Excel, but primarily with SQL. I also don’t store any data on my local PC—not even SQL files. Instead, I keep everything on the server and access it whenever I need it. Previously, I shared how to import data to a cloud MySQL server and how to import data from the MySQL server into R. □ How to Import Data to a Cloud MySQL Server (DigitalOcean) Using Python from Command Prompt□ How to Import…

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Is no-tillage farming beneficial to farmers?

Is no-tillage farming beneficial to farmers?

This year, in the no-tillage field, the farmer has sprayed herbicide three times since planting. These days, the hot trend is carbon farming, and all approaches aim to mitigate GHG emissions, suggesting that no-tillage is beneficial for carbon sequestration. Although the academic trend consistently indicates that carbon farming is important, in reality, farmers have been using more herbicides to suppress weeds. Is carbon farming good for farmers and real farming systems? No-tillage might mitigate GHG emissions, but more herbicides are…

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How to summarize data using Python?

How to summarize data using Python?

In my previous post, I demonstrated how to create a data table using Python. If you’re interested, please refer to the post below. ■ How to create a data table in Python? I’ll summarize this data by mean and standard error. full code: https://github.com/agronomy4future/python_code/blob/main/How_to_summarize_data_using_Python.ipynb

How to Customize the Order of Alphabetically Sorted Variables in R Studio?

How to Customize the Order of Alphabetically Sorted Variables in R Studio?

One of the problems that can occur when drawing graphs using R is that the x-axis of the graph is sorted alphabetically. There is data as shown above. I used this data to create a graph as shown below. The above graph displays Amonium Sulfate first according to alphabetical order. However, I want to show the treatments in the following order: Calcium Nitrate first, followed by Urea, then Sodium Nitrate, and lastly Ammonium Sulfate. Here are two ways to change…

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[Maize Article] GxE interaction in terms of stability

[Maize Article] GxE interaction in terms of stability

GxE interaction is when the phenotypic difference between a pair of genotypes is larger or smaller in one environment than in another environment. It is important to understand that what genotypes have different phenotypic values in two environments is not the same as GxE interaction. Please look at above graph. Both genotypes had a different phenotype in the two different environments (Env1 and Env2), but there was no interaction in this case because the difference between the phenotypic values was…

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geom_hline(data=data.frame(variety=c(“A”, “B”)), aes(yintercept=c(195.4028, 206.0819)), linetype=”dashed”, color=”Dark blue”) +

code

code

geom_text(aes(family=”serif”,fontface=6), x=65, y=0.02, label=paste(“Pistolo\n”,pistolo_CT_MEAN, “±”, round(pistolo_CT_SE,digits=2)),size=7, col=”Black”)