Category Archives: R: Descriptive stats

R: using basic stats to find good (mutual) investment funds

So what investment fund should we buy in our ISA? That’s a question discussed in the media between Christmas and New Year. I want to show you that you can select consistently good performing funds by just knowing a bit … Continue reading

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R: bar plots/ bar charts

Bar plots are for when we have categorical variables – known also as factors in ANOVA. Instances we may use barplots: descriptive stats when we have categorical variables; regression when we have categorical variables; crosstabs. #compare with hist() command Windows() … Continue reading

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R: Shape of the normal q-q plot for skewed distributions

One of the first plots we learn about is the histogram which is easy to interpret. No so the q-q plot, whose purpose is to shed light as to whether the variable (data) comes from a specified distribution. Here I … Continue reading

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R: How to obtain summary statistics

Once your data is ready for analysis, you need to obtain the descriptive statistics. Video with examples to show how to obtain in R: #summary stats (mean,median, min, max, sd, quantile, range, skewness, kurtosis, #not for mode) for one variable … Continue reading

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R: Crosstabs/contingency table

Testing for an association/relationship/independence between two (qualitative) factors.

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R: trellis plots tutorial

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R: how to create and interpret a matrix scatter plot

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