# Solved – Compare continuous variable between groups

`` company  emp_NO sex department salary  28    128   F         HR  17988  8     108   M         SD  12984  37    137   F         HR  23381  36    136   F         HR  19101  26    126   F         SD  15777  33    133   F         HR  21082  2     102   M         SD  15176  31    131   F         HR  13723  4     104   M         SD  17796  10    110   M         SD  13238  11    111   M         SD  17070  43    143   F         AD  25728  47    147   F         AD  30793  39    139   F         AD  23063  23    123   M         SD  13399  1     101   M         SD  15721  17    117   M         SD  15093   25    125   M         SD  15498  3     103   M         SD  14353  9     109   M         SD  15047   49    149   F         AD  25975  12    112   M         SD  14516  41    141   F         AD  26432  5     105   M         SD  13813  42    142   F         AD  23053  44    144   F         AD  26081  13    113   M         SD  15092  29    129   F         HR   9511  24    124   M         SD  14875  7     107   M         SD  15365  14    114   M         SD  14373  46    146   F         AD  20145  32    132   F         HR   6100  34    134   F         HR    345  27    127   F         HR  14187  16    116   M         SD  13925  30    130   F         HR  15228  38    138   F         HR   3687  18    118   M         SD  15173  40    140   F         AD  27863  48    148   F         AD  27953  20    120   M         SD  16346  45    145   F         AD  29704  22    122   M         SD  16238  19    119   M         SD  14912  6     106   M         SD  14045  15    115   M         SD  15068  21    121   M         SD  14811  50    150   F         AD  21992  35    135   F         HR  33112 ``

I generated this data set using an artificial data set.

I would like to compare employee’s salaries by gender using suitable summary statistics and graphs (or employee’s department).

Contents

You should read some introductory statistics material. For R in particular, there are some introduction to R guides at the R website (under documentation > manuals). Also an internet search of "Introductory statistics using R" will lead to many guides / blogs that answer and explain such analysis using R.

So below is not an attempt at a full answer but shows a couple of functions you may find useful.

``# Quick look at data # boxplot boxplot(company\$salary ~ company\$sex) ``

See `?boxplot` also http://www.statmethods.net/graphs/boxplot.html

``# histogram par(mfrow=c(1,2)) hist(company\$salary[company\$sex=="M"]) hist(company\$salary[company\$sex=="F"]) ``

See `?hist` and also http://www.statmethods.net/graphs/density.html

``# summary tapply(company\$salary, company\$sex, summary) ``

See `?summary`

`` # Compare salary  - you need to decide if these tests are appropriate  t.test(salary ~ sex, company) wilcox.test(salary ~ sex, company) ``

See `?t.test`, `?wilcox.test`, http://www.statmethods.net/stats/ttest.html and http://www.statmethods.net/stats/nonparametric.html

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