docs: remove SampleSizeCalculations.md, since it is outdated and no longer used

There was a reference to this doc from the old victoriametrics.com site

docs/BestPractices.md

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 # VM best practices 

docs/PerTenantStatistic.md

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 # VictoriaMetrics Cluster Per Tenant Statistic

docs/Release-Guide.md

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 # Release process guidance

docs/SampleSizeCalculations.md

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-
-# Sample size calculations
-
-These calculations are for the “Lowest sample size” graph at https://victoriametrics.com/ .
-
-How many metrics can be stored in 2tb disk for 2 years?
-
-Seconds in 2 years:
-2 years * 365 days * 24 hours * 60 minutes * 60 seconds = 63072000 seconds
-
-Resolution = 1 point per 10 second
-
-That means each metric will contain 6307200 points.
-
-2tb disk contains
-2 (tb) * 1024 (gb) * 1024 (mb) * 1024 (kb) * 1024 (b)  = 2199023255552 bytes
-
-## VictoriaMetrics
-Based on production data from our customers, sample size is 0.4 byte
-That means one metric with 10 seconds resolution will need
-6307200 points * 0.4 bytes/point = 2522880 bytes or 2.4 megabytes.
-Calculation for number of metrics can be stored in 2 tb disk:
-2199023255552 (disk size) / 2522880 (one metric for 2 year) = 871632 metrics
-So in 2tb we can store 871 632 metrics
-
-## Graphite
-Based on https://m30m.github.io/whisper-calculator/ sample size of graphite metrics is 12b + 28b for each metric
-That means, one metric with 10 second resolution will need 75686428 bytes or 72.18 megabytes
-Calculation for number of metrics can be stored in 2 tb disk:
-2199023255552 / 75686428 = 29 054 metrics
-
-## OpenTSDB
-Let's check official openTSDB site
-http://opentsdb.net/faq.html
-16 bytes of HBase overhead, 3 bytes for the metric, 4 bytes for the timestamp, 6 bytes per tag, 2 bytes of OpenTSDB overhead, up to 8 bytes for the value. Integers are stored with variable length encoding and can consume 1, 2, 4 or 8 bytes.
-That means, one metric with 10 second resolution will need
-6307200 * (1 + 4) + 3 + 16 + 2 = 31536021 bytes or 30 megabytes in the best scenario and
-6307200 * (8 + 4) + 3 + 16 + 2 = 75686421 bytes or 72 megabytes in the worst scenario.
-
-Calculation for number of metrics can be stored in 2 tb disk:
-
-2199023255552 / 31536021  = 69 730 metrics for best scenario
-2199023255552 / 75686421 = 29 054 metrics for worst scenario
-
-Also, openTSDB allows to use compression
-" LZO is able to achieve a compression factor of 4.2x "
-So, let's multiply numbers on 4.2
-69 730 * 4,2 = 292 866 metrics for best scenario
-29 054 * 4,2 = 122 026 metrics for worst scenario
-
-## M3DB
-Let's look at official m3db site https://m3db.github.io/m3/m3db/architecture/engine/
-They can achieve a sample size of 1.45 bytes/datapoint
-That means, one metric with 10 second resolution will need 9145440 bytes or 8,72177124 megabytes
-Calculation for number of metrics can be stored in 2 tb disk:
-2199023255552 / 9145440  = 240 450 metrics
-
-## InfluxDB
-Based on official influxDB site https://docs.influxdata.com/influxdb/v1.8/guides/hardware_sizing/#bytes-and-compression
-"Non-string values require approximately three bytes". That means, one metric with 10 second resolution will need
-6307200 * 3 = 18921600 bytes or 18 megabytes
-Calculation for number of metrics can be stored in 2 tb disk:
-
-2199023255552 / 18921600 = 116 217 metrics
-
-## Prometheus
-Let's check official site: https://prometheus.io/docs/prometheus/latest/storage/
-"On average, Prometheus uses only around 1-2 bytes per sample."
-That means, one metric with 10 second resolution will need
-6307200 * 1 = 6307200 bytes in best scenario
-6307200 * 2 = 12614400 bytes in worst scenario.
-
-Calculation for number of metrics can be stored in 2 tb disk:
-
-2199023255552 / 6307200  = 348 652 metrics for the best case
-2199023255552 / 12614400 = 174 326 metrics for the worst cases

ports/OpenBSD/VictoriaMetrics/pkg/PLIST

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 share/doc/vmetrics/Quick-Start.md
 share/doc/vmetrics/README.md
 share/doc/vmetrics/Release-Guide.md
-share/doc/vmetrics/SampleSizeCalculations.md
 share/doc/vmetrics/Single-server-VictoriaMetrics.md
 share/doc/vmetrics/latest.png
 share/doc/vmetrics/logo.png