Stories about crops and statistics (plus coding)
Today, I’ll be introducing how to create stacked bar graphs using R Studio. To start, I will generate a data table as shown below. I’ll make stacked bar graphs using this data table. First of all, it’s necessary to summarize the data. I’ll use ddply() function. If I use this code, the error message pops … Read more
For the mean comparison among variables, Least Significant difference (LSD) test is the most common method. Today I’ll introduce LSD test using R Studio. Here is one data. This data is about the yield difference of CV1 in response to 4 different nitrogen fertilizer (N0 ,N1, N2, N3). First of all, let’s check the mean … Read more
While creating graphs, you can certainly draw multiple graphs in a single panel. However, you can also use the facet_wrap() function to divide graphs based on specific variables. First, let’s generate a dataset. I intend to create a bar graph using this data. Therefore, I need to summarize the data. To do this, I must … Read more
When creating graphs using data, especially those involving error bars, it is necessary to calculate the standard error by summarizing the data. There are various methods to summarize the data. □ Utilizing R Studio for Data Grouping and Mean/Standard Error Calculation (feat ddply) Today I will introduce a method of creating graphs all at once … Read more
One common mistake when organizing data is collecting it as depicted below (## represents the result). While it might seem easy to input values into each column, listing data in this manner complicates statistical analysis. To conduct statistical analysis on such listed data, it is necessary for the data to be arranged as shown below. … Read more
Previously, I posted about how to change the data structure in the following scenario. □ Combining Factors from Separate Datasets into a Single Column Using R Studio (feat. dplyr package) This time, I will introduce a method for changing the structure of data as shown below. Specifically, this is about cases where there are multiple … Read more
When data is divided into two separate datasets, it needs to be combined into a single column. Using R, we can simply combine the two datasets. I will create a simple dataset. Now I will combine these two datasets into one. 1) using data.frame() To explain the below code simply, we are using the function … Read more
The function I will introduce today is ddply(). This function is convenient for summarizing large amounts of data and can also calculate standard errors, making it easy to create bar graphs. First, install the package. Once the installation is complete, let’s upload some data. This dataset consists of results from cultivating 4 genotypes under 4 … Read more
I’ll generate one data. Let’s say this is a math and english score for 8 students from different countries. I would like to adjust the scores by giving more weight to math. Since math was particularly difficult, I will increase the weight given to math. We aim to develop open-source code for agronomy ([email protected]) © … Read more
I’ll upload one data in R. I have 10 corn varieties and want to analyze the impact of nitrogen treatments (N0 and N1), variety, and their interaction on grain yield. Since replicates are considered as blocks, I will conduct a two-way ANOVA analysis with blocks as the statistical model. The statistical model for two-way ANOVA … Read more
When working with data in R, there are situations where you might need to examine summarized information, such as means, standard deviations, and more. Today, I will introduce the methods that can be employed for this purpose. Let’s start by loading a dataset. As I engage in various tasks involving this data, I aim to … Read more
library(agricolae) HSD.test(anova_th25, ‘Genotype’)
I have datasets below. This data pertains to the differences in grain yield and height resulting from various fertilizer treatments. Now I’ll create a graph using the following code. Since I assigned the color based on the condition of the “Fertilizer,”; geom_point (aes(color=Fertilizer)), the colors are automatically distinguished, resulting in the graph being plotted. However, … Read more
□ How to select and delete specific columns using R STUDIO? In my previous post, I explained how to select or delete specific columns. This time, I’ll elaborate on selecting or deleting specific variables within columns. Once again, I’ll generate a new set of data. If I want to divide the data by genotype, I … Read more
This is a method for adjusting the axis formatting of a graph drawn using ggplot() in R Studio. I will create a simple dataset as shown below. Next, I will use this data to create a bar graph. I have created the bar graph as shown above. Now, let’s proceed to adjust the axis formatting … Read more
I’ll Introduce the method of creating a line graph using R. I will utilize the geom_line() within ggplot(). First, let’s load the file. This data pertains to the changes in chlorophyll content and leaf greenness over time (days after planting). This dataset contains information from two distinct locations (Northern, Southern) and genotypes (CV1, CV2), each … Read more
□ Data filtering using R Studio It would be helpful if you read the below post before starting!! I’ll generate one data. Let’s say this is a math and English score for 8 students from different countries. Let’s do several things with this data. ■ How to delete certain column? I’d like to delete math … Read more
I will post a method for combining the columns and rows of two datasets in R. I have created two datasets simply for this purpose. And now, let’s combine these two datasets. I have combined these two tables into one. In fact, combining columns is simple because you can just put them side by side. … Read more
아래와 같은 데이터가 있습니다. 이 데이터에서 treatment 별로 평균값을 계산하여 새로운 열에 삽입하고 싶습니다. 그래서 아래와 같은 코드를 사용해 보겠습니다. 하지만 이 코드는 너무 길어 보입니다. 아주 간편하게 위와 동일한 계산을 수행하는 코드가 있으면 아주 편할것 같습니다. tapply() 코드는 위와 동일한 계산을 가능하게 하는 코드입니다. mean2 라는 열을 생성해서 그곳에 각 변수의 평균값을 계산하여 삽입하고 … Read more