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Activities: Task 1 Load the data: data(Soils) Task: Draw a simple design of the experiment. Identify your variables, Develop a research Title, Research Questions and Hypothesis. Task: Describe the Soils dataset using the following functions where necessary in R Studio str() class() levels() names() head() tail() Notes: Task: The summary() function is convenient. We can describe all of the variables in a data frame using the function on our data frame object. It gives a set of descriptive statistics, depending on the type of variable: summary(mydata) We can apply the summary() function to a single variable: In case we just need the summary statistic for a particular variable in the dataset, we can use In case of a Numerical Variable -> Gives Mean, Median, Mode, Range and Quartiles. summary(mydata$VariableName) We can use many functions on subsets of data, using indexing. Which rows are included in the following summary function summary(mydata[1:3,"VariableName"]) Task: Calculate the following Descriptive Statistics in R Studio using the appropriate functions for each quantitative continuous variables and by groups/categories and where applicable applicable for qualitative data • minimum In case of a Factor Variable -> Gives a table with the frequencies. In case of Factor + Numerical Variables -> Gives the number of missing values. In case of character variables -> Gives the length and the class. . maximum ● ● mean ● . median mode first quartile third quartile mode range 2 of 3

Activities: Task 1 Load the data: data(Soils) Task: Draw a simple design of the experiment. Identify your variables, Develop a research Title, Research Questions and Hypothesis. Task: Describe the Soils dataset using the following functions where necessary in R Studio str() class() levels() names() head() tail() Notes: Task: The summary() function is convenient. We can describe all of the variables in a data frame using the function on our data frame object. It gives a set of descriptive statistics, depending on the type of variable: summary(mydata) We can apply the summary() function to a single variable: In case we just need the summary statistic for a particular variable in the dataset, we can use In case of a Numerical Variable -> Gives Mean, Median, Mode, Range and Quartiles. summary(mydata$VariableName) We can use many functions on subsets of data, using indexing. Which rows are included in the following summary function summary(mydata[1:3,"VariableName"]) Task: Calculate the following Descriptive Statistics in R Studio using the appropriate functions for each quantitative continuous variables and by groups/categories and where applicable applicable for qualitative data • minimum In case of a Factor Variable -> Gives a table with the frequencies. In case of Factor + Numerical Variables -> Gives the number of missing values. In case of character variables -> Gives the length and the class. . maximum ● ● mean ● . median mode first quartile third quartile mode range 2 of 3

Systems Architecture
Systems Architecture
7th Edition
ISBN:9781305080195
Author:Stephen D. Burd
Publisher:Stephen D. Burd
Chapter3: Data Representation
Section: Chapter Questions
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use this link to acess the soil data

https://r-data.pmagunia.com/system/files/datasets/dataset-53964.csv

plz answer all the questions

 

plz run the question using r studio and answer the question and plz provide 3 reserach questions

 

7:19. BI03211 Workshee...2022-2023 (1).pdf - Read-only ● ● mode ● first quartile third quartile mode range standard deviation ● variance interquartile range ● coefficient of variation Histograms for each data set (by categories/groups/ treatments) KV summary() tapply() lapply() Other Useful functions Task: Also install and load the following age {pastecs) and use the function stat.desc() and coef.var to also examine measures within your datasets. by() table() sort() go Using your graph and table tools plot appropriate graphs and summary/ contingency tables (Hisograms/boxplots/bargraphs/Scatter plots/tables) to help in presenting and describing your results. 00 What are your conclusions for each variable and categories/groups/blocks/ treatments in soil data set. Produce a report including your R scripts, Results and conclusions in a word document. Please include: (vour full name and USI and Name Dent
Transcribed Image Text:7:19. BI03211 Workshee...2022-2023 (1).pdf - Read-only ● ● mode ● first quartile third quartile mode range standard deviation ● variance interquartile range ● coefficient of variation Histograms for each data set (by categories/groups/ treatments) KV summary() tapply() lapply() Other Useful functions Task: Also install and load the following age {pastecs) and use the function stat.desc() and coef.var to also examine measures within your datasets. by() table() sort() go Using your graph and table tools plot appropriate graphs and summary/ contingency tables (Hisograms/boxplots/bargraphs/Scatter plots/tables) to help in presenting and describing your results. 00 What are your conclusions for each variable and categories/groups/blocks/ treatments in soil data set. Produce a report including your R scripts, Results and conclusions in a word document. Please include: (vour full name and USI and Name Dent
3:45 BI03211 Worksheet 1- Descriptive Statistics 2022-2 КА Ку Activities: Task 1 Load the data: data(Soils) Task: Draw a simple design of the experiment. Identify your variables, Develop a research Title, Research Questions and Hypothesis. Task: Describe the Soils dataset using the following functions where necessary in R Studio str() class() levels() names() head() tail() . . Notes: Task: The summary() function is convenient. We can describe all of the variables in a data frame using the function on our data frame object. It gives a set of descriptive statistics, depending on the type of variable: summary(mydata) We can apply the summary() function to a single variable: In case we just need the summary statistic for a particular variable in the dataset, we can use ● maximum In case of a Numerical Variable -> Gives Mean, Median, Mode, Range and Quartiles. In case of a Factor Variable -> Gives a table with the frequencies. In case of Factor + Numerical Variables -> Gives the number of missing values. In case of character variables -> Gives the length and the class. summary(mydata$VariableName) We can use many functions on subsets of data, using indexing. Which rows are included in the following summary function summary(mydata[1:3,"VariableName"]) Task: Calculate the following Descriptive Statistics in R Studio using the appropriate functions for each quantitative continuous variables and by groups/categories and where applicable applicable for qualitative data minimum . mean . . median mode first quartile third quartile 0 mode range = ||| 00 0:0 2 of 3 O r ||
Transcribed Image Text:3:45 BI03211 Worksheet 1- Descriptive Statistics 2022-2 КА Ку Activities: Task 1 Load the data: data(Soils) Task: Draw a simple design of the experiment. Identify your variables, Develop a research Title, Research Questions and Hypothesis. Task: Describe the Soils dataset using the following functions where necessary in R Studio str() class() levels() names() head() tail() . . Notes: Task: The summary() function is convenient. We can describe all of the variables in a data frame using the function on our data frame object. It gives a set of descriptive statistics, depending on the type of variable: summary(mydata) We can apply the summary() function to a single variable: In case we just need the summary statistic for a particular variable in the dataset, we can use ● maximum In case of a Numerical Variable -> Gives Mean, Median, Mode, Range and Quartiles. In case of a Factor Variable -> Gives a table with the frequencies. In case of Factor + Numerical Variables -> Gives the number of missing values. In case of character variables -> Gives the length and the class. summary(mydata$VariableName) We can use many functions on subsets of data, using indexing. Which rows are included in the following summary function summary(mydata[1:3,"VariableName"]) Task: Calculate the following Descriptive Statistics in R Studio using the appropriate functions for each quantitative continuous variables and by groups/categories and where applicable applicable for qualitative data minimum . mean . . median mode first quartile third quartile 0 mode range = ||| 00 0:0 2 of 3 O r ||
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