big data code making

[Lena]

Hello to everyone. I need to help. I make big data document and I must analyze it by R studio.

lm2<-lm(PFS_1yr~Age + Sex+ PFS_1yr + IDVoxelNum_ktrans_e + VolumeNum_ktrans_e + Elongation_ktrans_e + Flatness_ktrans_e + LeastAxisLength_ktrans_e + MajorAxisLength_ktrans_e + Maximum2DDiameterColumn_ktrans_e + Maximum2DDiameterRow_ktrans_e + Maximum2DDiameterSlice_ktrans_e + Maximum3DDiameter_ktrans_e + MeshVolume_ktrans_e + MinorAxisLength_ktrans_e + Sphericity_ktrans_e + SurfaceArea_ktrans_e + SurfaceVolumeRatio_ktrans_e + VoxelVolume_ktrans_e + 10Percentile_ktrans_e + RootMeanSquared_ktrans_e + Skewness_ktrans_e + TotalEnergy_ktrans_e + Uniformity_ktrans_e + Variance_ktrans_e + Autocorrelation_ktrans_e + ClusterProminence_ktrans_e + ClusterShade_ktrans_e + ClusterTendency_ktrans_e + Contrast_ktrans_e + Correlation_ktrans_e + DifferenceAverage_ktrans_e + DifferenceEntropy_ktrans_e + DifferenceVariance_ktrans_e + Id_ktrans_e + Idm_ktrans_e + Idmn_ktrans_e + Idn_ktrans_e + Imc1_ktrans_e + Imc2_ktrans_e + InverseVariance_ktrans_e + JointAverage_ktrans_e + JointEnergy_ktrans_e + JointEntropy_ktrans_e + MCC_ktrans_e + MaximumProbability_ktrans_e + SumAverage_ktrans_e + SumEntropy_ktrans_e + SumSquares_ktrans_e + DependenceEntropy_ktrans_e + DependenceNonUniformity_ktrans_e + DependenceNonUniformityNormalized_ktrans_e + DependenceVariance_ktrans_e + GrayLevelNonUniformity_ktrans_e + GrayLevelVariance_ktrans_e + HighGrayLevelEmphasis_ktrans_e + LargeDependenceEmphasis_ktrans_e + LargeDependenceHighGrayLevelEmphasis_ktrans_e + LargeDependenceLowGrayLevelEmphasis_ktrans_e + LowGrayLevelEmphasis_ktrans_e + SmallDependenceEmphasis_ktrans_e + SmallDependenceHighGrayLevelEmphasis_ktrans_e + SmallDependenceLowGrayLevelEmphasis_ktrans_e + GrayLevelNonUniformity_ktrans_e + HighGrayLevelEmphasis_Vp_necrosis + LargeDependenceEmphasis_Vp_necrosis + GrayLevelNonUniformity_Vp_necrosis + GrayLevelNonUniformityNormalized_Vp_necrosis + , data=test1)
summary(lm2)

My data consist of 100obs. of 7683 variables. Help me to create some simple code. Multiple regression.

[Leon]

What is your hypothesis?

[Lena]

The aim of my research is find what kind of features influence on progression

[Leon]

Hi @Lena,

You mention this is a research project. Given my experience, the way you have stated your question and the code you supply (E.g. the variable PFS_1yr appears both as response and predictor), I would strongly advice to seek technical supervision.

The question you pose is really quite complex and requires careful thinking in terms of hypothesis definition and hypothesis generation.

So, as I said, get someone experienced to guide you and then I'd recommend the following learning ressources:

• An Introduction to Statistical Learning with Applications in R by Gareth James, Daniela Witten, Trevor Hastie and Rob Tibshirani
• Statistical Inference via Data Science - A moderndive into R and the tidyverse by Chester Ismay and Albert Y. Kim
• R for Data Science by Garrett Grolemund and Hadley Wickham

We all have to start somewhere and there is no quick-fix or short cut, so you have some hours to spend on a learning curve to climb, so happy learning