□ How to convert character to POSIXct format in R? In my previous post, I created a curve graph like the one shown below. The curve on the graph appears to be not very smooth, and I want to make it smoother. Therefore, I will add geom_smooth(), but the method will be method=”gam” code summary: https://github.com/agronomy4future/r_code/blob/main/Achieving_Smooth_Curve_Graphs_with_R.ipynb © 2022 – 2023 https://agronomy4future.com
Here is one dataset Let’s check the data type of each variable. The time column is in character format. When opening the data in Excel, it is considered text. I wish to create a time series graph, but this cannot be accomplished when the variables are in text format. Therefore, we need to convert the text to a time format. Now we can adjust time using scale_x_datetime() full summary: https://github.com/agronomy4future/r_code/blob/main/How_to_convert_character_to_POSIXct_format_in_R.ipynb © 2022 – 2023 https://agronomy4future.com
Here is one dataset. With this data, I’ll create a line graph to show the change in day length over time. First, let’s transpose the columns to rows using pivot_longer(). I’ll sort the data by Day and Month, but since the month column is in text format, sorting it from January to December directly isn’t feasible. Therefore, I’ll add a number corresponding to each month for sorting purposes. Now, I can sort by ‘month1’ and ‘Day’ from January 1 to…
□ Creating an Azure SQL Database: A step-by-step guide In my previous post, I introduced how to set up Azure SQL Database. Today, let’s practice some SQL coding! 1) to create data table I just created two data tables YieldData, and BiomassData. 2) to summarize data I will summarize the data tables by calculating the mean and standard error for each. How to merge two datasets? Here is one more tip. I want to merge two datasets. Here is the…
First, let’s create a dataset. and observe the different data formats of each value. I have two sets of yield data: one in character format (yield column) and the other in numeric format (yield1 column). How to convert missing value to 0 when data is numeric? When data is numeric (yield1 column), and if there are missing values, how can we replace it to 0? or you can also use the following code. How to convert missing values to 0…
TimeBlocks Project Track, visualize, empower: crafting purposeful, balanced lives through time blocks.
□ Graph Partitioning Using facet_wrap() in R Studio□ How to customize the title format in facet_wrap()? In my previous posts, I introduced how to divide panels in one figure using facet_wrap(). Today, I’ll introduce how to add separate text to panels. First, let’s make sure we have the required packages installed. I’ll create a dataset as shown below: Next, I’ll reshape the dataset into columns to facilitate data analysis. And then, I’ll summarize this data using descriptive statistics. Finally, I’ll…
DALL·E3, developed by OpenAI, is an advanced AI model capable of generating images from textual descriptions. It can create images based on a wide variety of prompts, ranging from straightforward descriptions to more imaginative or abstract concepts. ChatGPT – DALL·E (openai.com) I requested images from DALL·E depicting Agrivoltaics farming, and these are the results.
Quantifying pre- and post-anthesis heat waves on grain number and grain weight of contrasting wheat cultivars The study titled “Quantifying pre- and post-anthesis heat waves on grain number and grain weight of contrasting wheat cultivars” investigates the impact of heat stress on wheat productivity. As temperatures rise, wheat faces challenges in maintaining grain yield. Heat stress adversely affects two critical components: grain number per m2 (GN) and average grain weight (AGW). However, it remains unclear whether the sensitivity of these components differs and…
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
When creating a data table in R, it seems simple. How about using Python? © 2022 – 2023 https://agronomy4future.com
full code: https://github.com/agronomy4future/r_code/blob/main/In_R%2C_how_do_I_divide_the_legend_into_two_rows_in_a_graph%3F.ipynb © 2022 – 2023 https://agronomy4future.com
If you update to ChatGPT Plus version, we can access Data Analyst, and “you can create graphs by texting instead of coding“. Let’s upload a dataset into Data Analyst. This dataset contains data about Fe uptake on wheat grains. If you run the following R code, you can download the data from my GitHub. After downloading the data, let’s proceed to Data Analyst, click the upload button, and upload the data file. ChatGPT – Data Analyst Starting now, I’ll be…
Today, I’ll introduce how to filter variables after uploading data to SAS Studio. First, let’s upload data to SAS Studio. I’ll summarize data based on Treatment_modified. I want to summarize for each unique ID. So, I’ll add numbers from 1 up to the end. and I’ll summarize data again. Then, I’ll download this data to my PC. 1) to upload data to SAS First, let’s upload the data to SAS. I’ll assign this data to the Test table that I…
In 2024, one of my goals is to learn machine learning and publish a crop physiology paper in an academic journal using machine learning. While taking online or offline courses of machine learning, I discovered Kaggle, a popular platform for data science and machine learning competitions, datasets, and tutorials. Kaggle provides excellent datasets for practicing basic machine learning and data analysis. If you visit the Kaggle website: Titanic – Machine Learning from Disaster, you can access and download various datasets….
Kaggle is a popular online platform for data science and machine learning competitions, datasets, and tutorials. You can find high-quality data on Kaggle to practice data analysis. I have uploaded some of my data on Kaggle to share it with others. Recently, I’ve begun learning machine learning, and one of the most fundamental datasets for this purpose is the Titanic dataset. By visiting the website below, you can download the Titanic survivor data and practice machine learning with this foundational…
Data created Cumulative Sum per group © 2022 – 2023 https://agronomy4future.com
In R, I want to draw a line in a graph, and first, I’ll create the data. Next, I’ll create a bar graph. In this graph, I want to draw a horizontal line. The code to draw lines is introduced in the post below. □ Drawing Lines in ggplot() I added a horizontal line to represent the mean yield of all cultivars. Next, I would like to draw a horizontal line starting from Cultivar B. How can this be achieved?…
Visual Studio Code is a free and open-source code editor developed by Microsoft. It is a versatile editor that supports a wide range of programming languages, including, but not limited to, R, Python, SQL, JavaScript, TypeScript, Java, C#, and many others. The software provides a unified and user-friendly interface for developers working with different languages, making it a popular choice across various programming communities. Now, I’m working on my SQL code in Visual Studio Code, and recently, I’ve also been…
I have two datasets. Now, I want to combine these two datasets, but the row numbers differ between the two datasets. In dataB, the 3rd replicate for Tr1 and the 2nd replicate for Tr3 were deleted due to environmental errors. In this case, simply combining the two datasets is not feasible. One solution is to merge them row-wise using the rbind() function. This way, the two datasets will be combined by row. However, my goal is to combine the two…
Google Colab is essentially a Jupyter notebook environment, which means that typically only Python code works. However, it is also possible to use R code in Google Colab. If you’re unfamiliar with Google Colab, please read the post below to grasp its general concept. □ How to use Google Colab for Python (power tool to analyze data)? When opening a new Google Colab window, navigate to Runtime in the menu, choose Change runtime type, and a new window will appear,…
Let’s upload one dataset to R. Now, I want to save this data as code so that I can store it in my web note. This is because it would be difficult to find the original dataset after a long time. Therefore, I want to save it as text code in a list on my web note. 1) using dput() First, we can use dput() function. 2) using datapasta() Second, we can use datapasta() function 3) using constructive() This is…
I have a dataset as below. Now, I want to create a bar graph about this data. First, let’s summarize the data. Then, let’s create a bar graph. Now, to save space, I’d like to split the x-axis text into two rows using the following code. When you run the same code to create a bar graph, the resulting graph is shown below. Code summary https://github.com/agronomy4future/r_code/blob/main/Customizing_R_Graphs_Splitting_Text_into_Two_Rows.ipynb © 2022 – 2023 https://agronomy4future.com
© 2022 – 2023 https://agronomy4future.com
Manifesto: Transform each day into a canvas with a work of art as a project, shaped by the strokes of life. [1] I strive to make today better than yesterday. [1.1] In 2024, I document my daily life with a single photo that encapsulates each day.[1.2] In 2024, I compile my top 10 news on a weekly, and monthly basis.[1.3] In 2024, I write one column per month on my blog.[1.4] In 2024, I set daily, weekly, and monthly goals…
A Linear Mixed-Effects Model (LMM) is a statistical model that combines both fixed effects and random effects to analyze data with repeated measurements or hierarchical structure. Let’s break down the key components and concepts of a Linear Mixed-Effects Model: 1) Fixed Effects: 2) Random Effects: 3) Linear Mixed-Effects Model Equation: The general equation of a Linear Mixed-Effects Model can be written as: Y= Xβ + Zb + ε 4) Estimation: In summary, Linear Mixed-Effects Models are a powerful statistical tool…