## Gene Expression Data Analysis And Visualization

#QUESTION 1 “Load the golub data training set in the multtest library. Also load Biobase and labotate libraries, if they are not loaded with the multtest library. Remember that the golub data training set is in the multtest library, so see the help file for information on this data set (2.5 pts)” #if (!requireNamespace(“BiocManager”, quietly […]

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#lets make sure there are no strangling datasets in our global enviroment rm(list=ls(all=TRUE)) #lets read into R our dataset orginal<-read.csv(file.choose(),header = TRUE) final_data<-subset(orginal,select=-c(MCQ160A,BPQ020)) final_data\$PFQ061B[which(final_data\$PFQ061B<=1)]=0 final_data\$PFQ061B[which(final_data\$PFQ061B>=2)]=1 hist(final_data\$PFQ061B) #loading required libraries library(ggplot2) #making sure our variables are of the right class final_data\$PFQ061B<-as.ordered(final_data\$PFQ061B);class(final_data\$PFQ061B) final_data\$MCQ160A<-as.numeric(final_data\$MCQ160A);class(final_data\$MCQ160A) final_data\$MCQ010<-as.numeric(final_data\$MCQ010);class(final_data\$MCQ010) final_data\$DMDEDUC2<-as.ordered(final_data\$DMDEDUC2);class(final_data\$DMDEDUC2) final_data\$RIAGENDR<-as.numeric(final_data\$RIAGENDR);class(final_data\$RIAGENDR) final_data\$DIQ010<-as.numeric(final_data\$DIQ010);class(final_data\$DIQ010) str(final_data) ############################################################################# #                            Inferential statistics                         # ############################################################################# # using the […]

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— title: “Assignment” author: “Codes and Outputs” output:   word_document: default   html_document: default — ## 1 *Data Source: https://finance.yahoo.com/quote/%5EGSPC/history?period1=1136073600&period2=1264982400&interval=1mo&filter=history&frequency=1mo&includeAdjustedClose=true. We will work with the the 6th column Adj. Close (currency in USD).* “`{r} #reading the dataset into R SP <- read.csv(file.choose()) adj.close <- SP\$Adj.Close #finding the 12 month rolling average starting from the 13th […]

## Using Xlminer/Solver To Explore And Analyze

12. a) Here we have used K-Means clustering with 2 no of clusters. Cluster Size Average Distance Cluster 1 17 37.39795319 Cluster 2 4 33.73175476 Total 21 36.69962968 From the above we can see cluster 2 is more dense than cluster 1 as the distance between the points is less. And size of cluster 1 […]

## Analysis Of Relational Schemas And Normalization

i.  The functional dependencies regarding the relational database of shopping basket are:  A shopping basket has a variety of features. We investigate what other attributes may be  obtained from the given attribute based on the description provided regarding the different  attributes.  custNum – it is a unique id given to each customer. So, using […]

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It is safe to say that assumption has become almost obsolete in the world that we live in presently. The world now wants a backup to each decision that it takes, and by the world, I mean each citizen on planet earth who can make a decision. We now don’t believe in rushing to decisions; […]

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